<h2>Talent To Hire Inc. ( TTH)</h2>Premier IT Recruitment Across North AmericaSince 2009, Talent To Hire Inc. (TTH) has partnered with leading organizations to secure exceptional IT talent across North America. We’ve built long-standing relationships with industry leaders and maintain a deep network of C-level executives and highly specialized professionals.Combining AI-driven sourcing with proven headhunting strategies, we help organizations—from high-growth startups to Fortune 500 enterprises—hire with precision, speed, and confidence. Whether scaling teams or filling critical niche roles, we deliver talent that drives measurable business impact.Our Expertise Includes: Executive & C-Level Leadership Program & Project Management (Agile/Scrum) Transformation & Change Management Enterprise & Solution Architecture Software Engineering & Support Data, Analytics & Business Intelligence Cloud, Infrastructure & DevOps Cybersecurity & Risk Business Analysis, QA & Testing Mobile Development (iOS/Android)For Employers Build stronger teams with high-impact talent your competitors can’t access.For Candidates Unlock opportunities where your expertise is valued and your impact is visible.

<h3>Key Responsibilities:</h3>As a Business Systems Analyst, your responsibilities will include, but are not limited to:<ul class="list-disc pl-8"><li>Developing and documenting a comprehensive statement of requirements for the recommended alternative identified in the preliminary analysis report.</li><li>Conducting business analysis of functional requirements to identify key information, procedures, and decision-making flows.</li><li>Evaluating existing processes and methods, identifying and documenting critical components such as database content, structure, and application subsystems, and developing a detailed data dictionary.</li><li>Defining and documenting interface requirements between manual and automated operations within application subsystems, external systems, and integrations between new and existing systems.</li><li>Identifying business processes suitable for redesign, prototyping potential solutions, analyzing trade-offs, and providing recommendations for optimization, including modifications to automated processes.</li><li>Supporting and adhering to departmental methodologies to ensure consistency and efficiency in all processes.</li></ul><h3>Experience Levels Considered:</h3>We are seeking candidates across the following experience levels:<ul class="list-disc pl-8"><li>Level 1: Less than 5 years of experience</li><li>Level 2: 5 to less than 10 years of experience</li><li>Level 3: 10 or more years of experience</li></ul><h3>Required Skills & Qualifications:</h3><ul class="list-disc pl-8"><li>Business Systems Analyst Experience: Minimum of 3+ years (Must-have)</li><li>Technical Skills:<ul class="list-disc pl-8"><li>SQL – Strong proficiency in querying and database management</li><li>BPWin – Experience with business process modeling</li><li>Oracle CASE – Familiarity with CASE tools for software development</li><li>Rational Rose – Knowledge of UML modeling and system design</li><li>RUP (Rational Unified Process) – Understanding of structured software development methodologies</li></ul></li></ul>Follow us on LinkedIn to explore more opportunities! https://www.linkedin.com/company/talenttohire/

Business System Analyst ( Capital Markets)

<h3>Job Title: Project Manager</h3>We are seeking experienced Project Managers across three levels to lead and oversee complex projects, ensuring timely execution within budget and scope.<h3>Experience Levels:</h3><ul class="list-disc pl-8"><li>Level 1: 5–10 years of experience</li><li>Level 2: 10+ years of experience</li><li>Level 3: 10+ years of experience with a recognized professional certification</li></ul><h3>Key Responsibilities:</h3><ul class="list-disc pl-8"><li>Manage multiple Project Managers, each handling different project elements and teams.</li><li>Oversee project development, implementation, and operations startup, ensuring resources, timelines, and budgets align with goals.</li><li>Define and document project objectives, budgets, roles, and responsibilities.</li><li>Monitor and report project progress throughout its lifecycle.</li><li>Collaborate with stakeholders to solve problems and improve project outcomes.</li><li>Utilize project management tools to analyze and present key information.</li><li>Ensure successful project sign-off and completion.</li></ul><h3>Required Skills:</h3><ul class="list-disc pl-8"><li>Project Management (6+ years) – Must have</li><li>Enhanced Reliability Security Clearance – Must have</li></ul><h3>Nice to Have:</h3><ul class="list-disc pl-8"><li>PMP Certification</li><li>MS Project</li><li>Project Management Office (PMO) Experience</li><li>Program Management Professional (PgMP)</li><li>Secret or Top Secret Security Clearance</li><li>Fluent French/English (Bilingual)</li></ul>Candidates must hold or be eligible for Enhanced Reliability Clearance.Even if you don’t fully meet every requirement, we will still be open to review your application. We value diverse expertise and perspectives that drive innovation.Connect with us on LinkedIn to explore more opportunities! https://www.linkedin.com/company/talenttohire/

Senior Project Manager ( Fintech/ Capital Markets)

<h3>Position Overview</h3>The Technology Architect is responsible for designing, developing, and implementing technical architectures, frameworks, and strategies that meet business and application requirements. This role involves evaluating technology solutions, ensuring system integration, and monitoring industry trends to stay aligned with government and industry regulations.<hr><h3>Key Responsibilities</h3><ul class="list-disc pl-8"><li>Architecture Development & Strategy<ul class="list-disc pl-8"><li>Develop technical architectures, frameworks, and strategies to meet organizational business needs and application requirements.</li><li>Identify policies and requirements driving the need for specific technology solutions.</li><li>Analyze and evaluate alternative technology solutions to address business challenges effectively.</li></ul></li><li>System Integration & Functional Analysis<ul class="list-disc pl-8"><li>Ensure seamless integration of technology solutions across systems and platforms.</li><li>Analyze functional requirements to identify key information flows, procedures, and decision-making points.</li><li>Define and document interfaces between manual and automated operations within subsystems, and between new and legacy systems.</li></ul></li><li>Standards & Documentation<ul class="list-disc pl-8"><li>Define and document system-specific standards for programming, testing, and documentation, including program libraries, data dictionaries, and naming conventions.</li><li>Evaluate and document existing procedures, including database content and application subsystems.</li><li>Prepare a detailed plan for the technical design phase and secure approval for system proposals.</li></ul></li><li>Industry & Technology Monitoring<ul class="list-disc pl-8"><li>Stay updated on industry trends to ensure technology solutions align with government and industry directions.</li></ul></li></ul><hr><h3>Experience Levels</h3><ul class="list-disc pl-8"><li>Level 1: Less than 5 years of experience</li><li>Level 2: 5 to less than 10 years of experience</li><li>Level 3: 10 or more years of experience</li></ul><hr><h3>Key Skills & Experience</h3><h4>Must-Have Skills:</h4><ul class="list-disc pl-8"><li>Software Architecture (5+ years)</li><li>Application Architecture (5+ years)</li><li>Enhanced Reliability Security Clearance</li></ul><h4>Technical Expertise:</h4><ul class="list-disc pl-8"><li>Java</li><li>.NET</li><li>Oracle</li><li>SQL</li></ul><h4>Preferred Skills:</h4><ul class="list-disc pl-8"><li>Canadian Intergovernmental Conference Secretariat (CICS)</li><li>Architecture Design Specification (ADS)</li><li>Electronic Business using eXtensible Markup Language (EbXML)</li><li>Common Object Request Broker Architecture (CORBA)</li></ul><h4>Soft Skills & Competencies:</h4><ul class="list-disc pl-8"><li>Strong analytical thinking and problem-solving abilities.</li><li>Excellent documentation and standardization skills.</li><li>Ability to collaborate with cross-functional teams to integrate technical solutions.</li></ul><hr><h3>Preferred Certifications</h3><ul class="list-disc pl-8"><li>TOGAF (The Open Group Architecture Framework)</li><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>AWS Certified Solutions Architect</li></ul><hr><h3>Skills Summary</h3>✅ Software & Application Architecture ✅ Integration & System Analysis ✅ Java, .NET, Oracle, SQL ✅ Government Standards & Compliance ✅ Security ClearanceEven if you don’t fully meet every requirement, we will still be open to review your application. We value diverse expertise and perspectives that drive innovation.Connect with us on LinkedIn to explore more opportunities! https://www.linkedin.com/company/talenttohire/

Application/Software Architect

Job Title: Data ArchitectJob Description:We are seeking 2 skilled Data Architect to join our team. The ideal candidate will be responsible for designing, creating, and managing the organization’s data architecture and infrastructure to support data analytics and business intelligence initiatives.Key Responsibilities:<ul class="list-disc pl-8"><li>Develop and maintain data architecture strategies and frameworks that support business objectives.</li><li>Design and implement robust data models, database structures, and data integration processes.</li><li>Ensure data quality, consistency, and security across all data systems.</li><li>Collaborate with stakeholders to understand data requirements and translate them into technical specifications.</li><li>Optimize data storage and retrieval processes to enhance performance and scalability.</li><li>Oversee the implementation of data management best practices, including data governance and data lifecycle management.</li><li>Work closely with data engineers, data scientists, and business analysts to support data-driven decision-making.</li><li>Stay current with emerging data technologies and industry trends to inform future data architecture decisions.</li></ul>What You Will Bring:<ul class="list-disc pl-8"><li>Educational Background: Bachelor’s Degree in Computer Science, Information Systems, or a related field; Master’s degree preferred.</li><li>Technical Skills:<ul class="list-disc pl-8"><li>Extensive experience with database technologies (e.g., SQL, NoSQL, Hadoop, etc.).</li><li>Proficiency in data modeling tools and methodologies.</li><li>Strong understanding of ETL processes and data warehousing concepts.</li><li>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).</li><li>Familiarity with data governance frameworks and tools.</li></ul></li></ul>Preferred Qualifications:<ul class="list-disc pl-8"><li>Proven experience as a Data Architect or similar role.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration abilities.</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul>Responsibilities may include, but are not limited to:<ul class="list-disc pl-8"><li>Collaborate with internal and external stakeholders (Business, IITB, System Integrators) to understand data requirements and use cases for projects.</li><li>Develop, manage, and maintain architectures for data management services and solutions in coordination with project Enterprise Architecture.</li><li>Provide expertise in data architecture, including data modeling, database design, data integration, data governance, and data lifecycle solutions.</li><li>Facilitate the research, evaluation, and selection of data management technologies and products.</li></ul>Skills Required:<ul class="list-disc pl-8"><li>Data Architect: </li><li>Data Architecture: </li><li>Data Modeling</li><li>Database Design</li><li>Data Integration</li><li>Enterprise Architecture</li><li>Data Migration</li><li>Data Mapping</li><li>Data Management:</li><li>Data Transformation:</li><li>Data Storage</li><li>Identify, document, and propose standards and repeatable solution patterns for the program's data architecture.</li><li>Assist in defining and implementing data stewardship models and policies for data quality, security, privacy, and compliance.</li><li>Oversee data migration projects, including planning, data mapping, and data transformation.</li><li>Provide guidance on selecting appropriate database technologies, data storage solutions, and data integration tools.</li></ul>Please include any relevant certifications, industry knowledge, and experience, as well as any technologies/modules you have worked with.Selected candidates will need to hold or be eligible to obtain an Enhanced Reliability clearance.

Data Architect

<h3>Position Overview</h3>The Technology Architect is responsible for designing and implementing robust technical architectures, frameworks, and strategies that align with business objectives and application requirements. This role involves evaluating and integrating technology solutions, ensuring compliance with industry trends and government regulations, and optimizing IT infrastructure performance.<hr><h3>Key Responsibilities</h3><ul class="list-disc pl-8"><li>Technology Strategy & Architecture Development<ul class="list-disc pl-8"><li>Develop technical architectures, frameworks, and strategies for enterprise systems or major application areas.</li><li>Identify policies and requirements that drive specific technology solutions.</li><li>Analyze and evaluate alternative technology solutions to address business challenges.</li></ul></li><li>Solution Integration & Implementation<ul class="list-disc pl-8"><li>Ensure the seamless integration of all technology solutions across the organization.</li><li>Perform impact analysis of technology changes on infrastructure and business operations.</li><li>Support application and technical teams in applying existing infrastructure effectively.</li></ul></li><li>Industry Alignment & Emerging Technologies<ul class="list-disc pl-8"><li>Monitor industry trends to align solutions with best practices and government regulations.</li><li>Provide guidance on emerging technologies and their potential business applications.</li><li>Review application and technical infrastructure design to ensure adherence to standards and recommend improvements.</li></ul></li></ul><hr><h3>Key Skills & Experience</h3><h4>Must-Have Skills:</h4><ul class="list-disc pl-8"><li>Technology Architecture (3+ years experience)</li><li>Microsoft Azure</li><li>Impact & Risk Analysis</li><li>Infrastructure Design & Optimization</li></ul><h4>Technical Expertise:</h4><ul class="list-disc pl-8"><li>Hardware & Storage Systems</li><li>Software & Host System Software</li><li>Cloud & On-Premise Infrastructure</li></ul><h4>Soft Skills & Professional Competencies:</h4><ul class="list-disc pl-8"><li>Strong analytical and problem-solving skills.</li><li>Ability to assess and mitigate technology risks.</li><li>Excellent communication and collaboration skills with IT and business stakeholders.</li></ul><hr><h3>Certifications & Clearances</h3><h4>Preferred Certifications:</h4><ul class="list-disc pl-8"><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>TOGAF (The Open Group Architecture Framework)</li><li>AWS Certified Solutions Architect (if applicable)</li><li>Certified Information Systems Security Professional (CISSP) – if security expertise is required</li></ul><hr><h3>Skills Summary</h3><h4>Core Competencies:</h4>✅ Technology Architecture & Strategy ✅ Infrastructure Design & Implementation ✅ Microsoft Azure & Cloud Solutions ✅ Impact & Risk Analysis ✅ Emerging Technologies & Trend MonitoringEven if you don’t fully meet every requirement, we will still be open to review your application. We value diverse expertise and perspectives that drive innovation.Connect with us on LinkedIn to explore more opportunities! https://www.linkedin.com/company/talenttohire/

Software Technical Architect

<h2>Quantitative Developer</h2><h3>Overview</h3>The Quantitative Developer plays a key role in building and optimizing financial models, trading strategies, and risk management solutions. This position requires expertise in programming, algorithmic trading, data analysis, and quantitative finance. The ideal candidate will work closely with traders, quantitative analysts, and risk managers to develop scalable, high-performance systems for financial markets.<hr><h3>Key Responsibilities</h3><ul class="list-disc pl-8"><li>Financial Model Development – Design and implement financial models for pricing, trading strategies, portfolio optimization, and risk management.</li><li>Quantitative Analysis – Develop and refine stochastic models, Monte Carlo simulations, time series forecasting, and machine learning-based models.</li><li>High-Performance Computing – Build and optimize low-latency, real-time trading and risk management applications.</li><li>Algorithmic Trading – Implement and optimize automated trading strategies and quantitative analytics.</li><li>Data Processing & Analysis – Handle large financial datasets, including market data, historical prices, and alternative data sources.</li><li>Backtesting & Stress Testing – Validate trading models for robustness and ensure strategies perform under various market conditions.</li><li>Regulatory Compliance – Ensure models and trading strategies align with Basel III, MiFID II, SEC, and other financial regulations.</li><li>Risk Analytics & Scenario Testing – Develop frameworks for risk assessment and scenario analysis.</li><li>Code Optimization – Refactor and enhance existing code to improve performance, scalability, and efficiency.</li><li>Cross-Team Collaboration – Work closely with quantitative analysts, traders, risk managers, and software engineers to align business and technology objectives.</li><li>Documentation & Transparency – Maintain detailed documentation of code, model assumptions, and testing procedures for auditability.</li></ul><hr><h3>Key Skills & Expertise</h3><h4>Technical Proficiency</h4><ul class="list-disc pl-8"><li>Strong programming skills in Python, C++, Java, or C#.</li><li>Experience with numerical computing libraries (NumPy, Pandas, SciPy) and machine learning frameworks (TensorFlow, PyTorch).</li><li>Proficiency in SQL and NoSQL databases for managing financial data.</li><li>Knowledge of cloud computing, distributed computing, and parallel processing (AWS, Azure, Hadoop, Spark).</li><li>Experience with high-frequency trading (HFT), low-latency systems, and algorithmic trading.</li></ul><h4>Quantitative & Financial Expertise</h4><ul class="list-disc pl-8"><li>Strong background in probability, statistics, stochastic calculus, and time series analysis.</li><li>Experience with option pricing models, portfolio optimization, and risk modeling.</li><li>Deep understanding of financial instruments, including derivatives, fixed income, and equities.</li></ul><h4>Soft Skills & Industry Experience</h4><ul class="list-disc pl-8"><li>Ability to work in a fast-paced, high-pressure financial environment.</li><li>Strong communication and collaboration skills to work with both technical and non-technical teams.</li><li>Experience in hedge funds, investment banks, fintech, or proprietary trading firms preferred.</li></ul><h4>Education & Certifications</h4><ul class="list-disc pl-8"><li>Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Physics, Engineering, Financial Engineering, or a related field.</li><li>Preferred Certifications: CFA, FRM, CQF (Certificate in Quantitative Finance).</li></ul><hr><h3>Skills Summary</h3><h4>Must-Have:</h4><ul class="list-disc pl-8"><li>Quantitative Development & Methodologies</li><li>Python</li><li>NoSQL Databases</li><li>Financial Modeling & Risk Management</li></ul><h4>Nice to Have:</h4><ul class="list-disc pl-8"><li>Monte Carlo Simulations & Backtesting</li><li>Basel III Compliance</li><li>C#</li><li>Low-Latency Systems & HFT</li><li>NumPy & Advanced Data Analysis</li></ul>Even if you don’t fully meet every requirement, we will still be open to review your application. We value diverse expertise and perspectives that drive innovation.Connect with us on LinkedIn to explore more opportunities! https://www.linkedin.com/company/talenttohire/

Quantitative Developer

Overview A Capital Markets Consultant provides strategic guidance and technical expertise to optimize trading, investment, and risk management processes. This role involves advising on market trends, regulatory compliance, financial modeling, and advanced trading systems to enhance efficiency and profitability for financial institutions.<h3>Responsibilities</h3><ul class="list-disc pl-8"><li>Strategic Development – Design and implement strategies for trading, investment banking, structured finance, and asset management.</li><li>Market Advisory – Provide insights on market trends, financial instruments, liquidity strategies, and portfolio optimization.</li><li>M&A Support – Assist in mergers, acquisitions, and capital-raising initiatives.</li><li>Financial Product Expertise – Offer specialized knowledge in equities, fixed income, derivatives, structured products, and alternative investments.</li><li>Trading Enhancements – Optimize electronic, algorithmic, and high-frequency trading (HFT) systems.</li><li>Market-Making Optimization – Improve execution algorithms, market-making strategies, and liquidity management.</li><li>Regulatory Compliance – Ensure adherence to Basel III, MiFID II, Dodd-Frank, EMIR, and SEC regulations.</li><li>Risk Assessment – Evaluate market, credit, and operational risks in capital markets transactions.</li><li>Regulatory Support – Assist with reporting, stress testing, and capital adequacy planning.</li><li>Post-Trade Enhancements – Improve settlement systems and clearing mechanisms.</li><li>Blockchain & Digital Assets Advisory – Provide guidance on blockchain technology, tokenization, and digital assets in capital markets.</li><li>System Utilization – Work with trading platforms, Order Management Systems (OMS), and Execution Management Systems (EMS).</li><li>Data & Analytics – Leverage AI, machine learning, and big data for predictive analytics and market insights.</li><li>Financial Modeling – Conduct modeling, backtesting, and scenario analysis.</li><li>Stakeholder Engagement – Collaborate with investment banks, hedge funds, asset managers, regulators, and fintech firms.</li><li>Reporting & Presentations – Develop and present insights, reports, and proposals to senior executives.</li></ul><hr><h3>Key Skills & Requirements</h3><h4>Required</h4><ul class="list-disc pl-8"><li>Capital Markets (5+ years)</li><li>Asset Management (AM)</li><li>Fixed Income</li><li>Derivatives</li></ul><h4>Nice to Have</h4><ul class="list-disc pl-8"><li>High-Frequency Trading (HFT)</li><li>Basel III & Dodd-Frank Compliance</li><li>Risk Management & Credit Risk Assessment</li><li>Portfolio Optimization</li><li>Settlement Systems & Post-Trade Processing</li><li>Liquidity Management & Liquidity Analysis</li></ul>Even if you don’t fully meet every requirement, we will still be open to review your application. We value diverse expertise and perspectives that drive innovation.Connect with us on LinkedIn to explore more opportunities! https://www.linkedin.com/company/talenttohire/

Capital Markets Consultant

We are looking to hire 2 full-time Senior Business Systems Analyst with specific Mutual Fund or FundServ experience.  Book of record experience from Dataphile, ISM, BPS, ADP, IFDS iFast, or FNZ to join our technology teams and business partners to develop a cutting-edge, next-generation trade execution system and book of record. We are interested in speaking with you should you bring any past experience working in mutual funds space.You will be asked to enhance our client management and trading systems.Key Responsibilities:<ul class="list-disc pl-8"><li>Gather and document requirements from business and technology teams.</li><li>Collaborate with architecture teams to design effective solutions.</li><li>Debug and enhance existing systems, including ATON transfers and mutual fund records.</li><li>Assist in preparing and testing new features for quality assurance.</li></ul>What You Will Bring:<ul class="list-disc pl-8"><li>Education: Bachelor’s Degree in Computer Science, Computer Engineering, or related field.Technical Skills:<ul class="list-disc pl-8"><li>Proficiency in .NET C# and SQL.</li><li>Familiar with CI/CD pipelines, GIT , Jira and Atlassian tools.</li><li>Experience with book of record systems (BPS, ISM, Dataphile, WinFund, Univeris, RPM).</li><li>Understanding of Object-Oriented Software Development methodology, multi-threading and Concurrency.</li></ul></li><li>Preferred Experience:</li><li>Must have 10+ years of relevant work experience in a similar role. Ideally in the brokerage/securities financial industry.</li><li>Experience with brokerage book of record systems an asset</li><li>Experience interacting with the markets via CDS, DTC, FundServ, Cannex, Euroclear, Swift, etc.</li><li>Nice to have: Hands-on C++, Java, React, Node.js an asset</li><li>Connect with us on LinkedIn to explore more opportunities! https://www.linkedin.com/company/talenttohire/</li></ul>

Sr. Business Systems Analyst (Mutual funds)

Software Engineer – IDE & DevTools (AI-Powered) – Toronto (Hybrid)Are you passionate about building developer tools that empower engineers? Do you want to work on the cutting edge of AI, language tooling, and semiconductor design?We’re hiring a hands-on Software Engineer to join the founding engineering team of an AI-native SaaS startup revolutionizing semiconductor design. You’ll help build an intelligent, high-performance Integrated Development Environment (IDE) that transforms how semiconductor engineers write, navigate, and refactor code.<hr><h3>What You’ll Build</h3><ul class="list-disc pl-8"><li>A modular, extensible IDE using Monaco (VS Code), Tree-sitter, Language Server Protocol (LSP), and AST-based analysis</li><li>Intelligent features like autocomplete, go-to-definition, inline docs, and context-aware suggestions</li><li>LLM-powered capabilities including inline completions, chat, code transformation, and summarization</li><li>Plugin and extension systems, file/project awareness, and editor performance optimization</li></ul><hr><h3>Core Responsibilities</h3><ul class="list-disc pl-8"><li>Architect and implement advanced code editor and tooling features</li><li>Collaborate with AI/ML and backend teams to integrate large language models into developer workflows</li><li>Optimize editor performance through smart diffing, incremental parsing, caching, and multithreading</li><li>Design and maintain plugin systems and developer extension frameworks</li></ul><hr><h3>What We’re Looking For</h3><ul class="list-disc pl-8"><li>4+ years developing developer tools, IDEs, language tooling, or related software</li><li>Strong hands-on experience in TypeScript, Python, Go, or C++</li><li>Deep familiarity with editor architectures, especially Monaco, Tree-sitter, or similar frameworks</li><li>Experience with Language Server Protocol (LSP), AST parsing, and semantic code navigation</li><li>Built or maintained plugin/extension systems, command registries, or similar</li><li>Solid understanding of developer workflows, version control, and extensibility</li></ul><hr><h3>Bonus Points</h3><ul class="list-disc pl-8"><li>Experience integrating LLMs (OpenAI, Claude, DeepSeek, etc.) into developer workflows</li><li>Knowledge of embeddings, token caching, or AI-powered code refactoring</li><li>Open-source contributions to IDEs, devtools, or language tooling</li></ul><hr><h3>Quick Fit Questions (Please consider before applying)</h3><ol class="list-decimal pl-8"><li>Have you built or contributed to IDEs or extensions (e.g., VS Code plugins)?</li><li>Have you contributed to any open-source projects?</li><li>Are you proficient in TypeScript, Python, Go, or C++?</li><li>Do you understand how editors like Monaco or Tree-sitter work under the hood?</li><li>Have you worked with LSP, AST parsing, or developer code navigation tools?</li><li>Have you built plugin or command registry systems?</li><li>Have you integrated AI/LLM tooling into developer platforms?</li></ol>If you answered yes to most, we want to hear from you!<hr><h3>Why Join?</h3><ul class="list-disc pl-8"><li>Be a founding engineer in a fast-growing AI SaaS startup shaping semiconductor design</li><li>Work directly with the VP of Software and collaborate with Silicon Valley HQ</li><li>Influence product and team strategy with leadership growth potential</li><li>Competitive salary + early equity in a high-impact startup</li><li>Flexible hybrid work environment with a low-ego, high-trust culture</li></ul><hr>📩 Interested? Send me a message or apply directly below. Tag someone who would be perfect for this!#SoftwareEngineer #IDE #DevTools #AI #LLM #TorontoTech #Hiring #EngineeringLeadership #DeveloperTools #StartupsApply: sasha@talenttohire.com | 416-833-3533For more jobs check us here: https://www.linkedin.com/company/talenttohire

Software Engineer- IDE & Dev Tools

<h3>Lead Software Engineer/ Hands-on – Founding Toronto Team</h3>📍 Toronto (Hybrid 4 days) | 💼 Full-Time | 🚀 AI SaaS StartupWe’re helping an AI-native SaaS startup build its Toronto engineering hub, starting with a founding technical leader who’s eager to scale both systems and teams.This is a rare opportunity for a Staff Engineer or Engineering Manager who’s still hands-on with code but ready to own architecture, mentor engineers, and help grow a high-impact team from the ground up.<hr><h3>🔧 What You’ll Do</h3><ul class="list-disc pl-8"><li>Drive technical direction, architecture, and design across backend, frontend, and ML systems</li><li>Stay hands-on—review code, lead design sessions, and contribute to builds</li><li>Manage and mentor a growing team across backend, frontend, dev tools, and QA</li><li>Collaborate closely with the VP of Software and HQ team in Silicon Valley</li><li>Own delivery of key product features and infrastructure from the Toronto office</li><li>Lead hiring, onboarding, and shape engineering culture in a new hub</li><li>Help scale the team from 3 → 20+ engineers over the next 24 months</li></ul><hr><h3>🌟 We like to speak with you if you offer :</h3><ul class="list-disc pl-8"><li>10+ years of software engineering experience</li><li>Offer 3+ years in a technical leadership or management role</li><li>Built or scaled cloud-native SaaS platforms (AWS, GCP, or Azure)</li><li>Have deep expertise in backend systems, frontend architecture, or both</li><li>Experience building or integrating AI/ML infrastructure or LLM-powered products</li><li>Demonstrate a track record of leading cross-functional teams in high-growth or startup environments</li><li>Have been mentoring early-career engineers and growing healthy engineering cultures before</li><li>(Bonus) : Have experience with developer tools, IDEs, or platforms for engineers</li></ul><hr><h3>✅ Quick Self-Check:</h3><ul class="list-disc pl-8"><li>Are you still hands-on but ready to grow and lead others?</li><li>Do you thrive in startup environments where speed and ownership matter?</li><li>Have you built scalable, production-grade systems in the cloud?</li><li>Can you build trust across product, design, ML, and engineering teams?If you answered “yes” to most of these, we’d love to hear from you. This is a unique opportunity to help build both a world-class engineering system and a world-class engineering team—from the ground up.Apply: sasha@talenttohire.com | 416-833-3533</li></ul>For more jobs check us here: https://www.linkedin.com/company/talenttohire

Lead Staff Software Engineer

<h2>Data Platform Software Lead Engineer – AI/ML Systems</h2>Location: Hybrid (4 days onsite – Downtown Toronto) Type: Full-Time | Start-up<hr><h3>About the Role</h3>Join our team as a Data Platform Software Lead Engineer and drive the architecture that fuels our AI and ML pipelines, focusing on large-scale, code-based text datasets. You'll design and build reliable systems for data ingestion, transformation, and delivery—enabling teams to train, iterate, and deploy models with confidence.<hr><h3>What You’ll Do</h3><ul class="list-disc pl-8"><li>Architect and implement scalable data platforms for code/text dataset ingestion, processing, and delivery.</li><li>Build web-scale crawling and metadata extraction tools from open-source code repositories.</li><li>Develop reliable, distributed pipelines with frameworks like Spark, Kafka, and Airflow/Prefect.</li><li>Enable data visualization, sampling, and analytics for research teams to improve model performance.</li><li>Collaborate with researchers, infrastructure, and compliance teams to meet technical and governance requirements.</li></ul><hr><h3>Must-Have Skills</h3><ul class="list-disc pl-8"><li>8+ years in data-intensive software engineering.</li><li>Proficiency in Python, Go, or Scala; Spark or Ray; Airflow or Prefect; Kafka; Redis; Postgres or ClickHouse; GitHub APIs.</li><li>Understanding of how datasets power AI/ML workflows.</li><li>Proven experience in scalable data infrastructure and pipeline development.</li><li>Skills in web crawling, scraping, and large-scale ingestion.</li><li>Cloud-native experience (e.g., AWS, containerized compute, security).</li></ul><hr><h3>Bonus Points;</h3><ul class="list-disc pl-8"><li>Curating or preparing code-based datasets for LLMs or AI tooling.</li><li>Familiarity with code parsing, tokenization, or embedding.</li><li>Startup or fast-paced high-ownership environment experience.</li></ul><hr><h3>Why Work With Us</h3><ul class="list-disc pl-8"><li>Influence the technical path of an AI-first startup.</li><li>Work with cutting-edge cloud and ML/AI technologies.</li><li>Receive competitive pay with equity.</li><li>Collaborate with a diverse, high-caliber team.</li><li>Thrive in a dynamic, innovation-driven workplace culture.</li></ul><hr><h3>Screening Questions</h3><ol class="list-decimal pl-8"><li>Describe a scalable data pipeline you've built for processing large code or text datasets.</li><li>What tools or frameworks did you use for distributed data processing and why?</li><li>Share an example of a web crawling or scraping system you’ve developed at scale.</li><li>What components of your past data pipelines have you deployed in AWS (e.g., storage, compute, security)?</li><li>Have you worked with code-based datasets or applied parsing/tokenization in model workflows?</li></ol><hr><h3>Apply Now</h3>Interested? Submit your resume and a brief response to the screening questions to: sasha@talenttohire.com

Lead Data Platform Engineer ( AI/ML , Start-up)

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a Senior Data Engineers to join their Data & Analytics team within the Wealth Technology group. We are looking for Data Engineers with proven track record working within the Wealth Mgmt. / Financial sector. You’ll help build and optimize scalable data pipelines, support data governance, and enable advanced analytics across the organization. Be part of a high-impact team driving data innovation in the wealth tech space.What You’ll Do:<ul class="list-disc pl-8"><li>Design, build, and maintain robust ETL/ELT data pipelines.</li><li>Collaborate with analysts and business teams to translate needs into technical solutions.</li><li>Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools.</li><li>Ensure data quality, observability, and governance across systems.</li><li>Lead or support migration projects to cloud-based platforms.</li><li>Mentor junior engineers and promote engineering best practices.</li></ul>What You’ll Bring:<ul class="list-disc pl-8"><li>8+ years of data engineering experience.</li><li>Strong skills in SQL, Python, Airflow, Snowflake, AWS Glue, S3, Lambda, and Terraform.</li><li>Experience with CI/CD, data lineage, and monitoring tools.</li><li>Financial services experience is a MUST.Screening Questions:1-How proficient are you with programming languages and tools for data engineering tasks (e.g., SQL, Python, Airflow, Terraform)? how many years?2- Can you describe your experience designing, building, and maintaining ETL/ELT pipelines? Which tools and technologies did you use?3-Have you worked directly with analysts or business stakeholders to translate business needs into technical data solutions? Can you share an example?4-What is your experience designing data architectures on AWS using services like Glue, S3, Lambda, and Redshift or Snowflake?5-How do you ensure data quality, observability, and lineage in your pipelines? What tools or practices have you implemented?6-Have you participated in or led a cloud data migration project? What was your role and what challenges did you face?7-Describe a time when you mentored junior engineers or promoted engineering best practices within a team.8-How many years of hands-on experience do you have in data engineering? What types of systems or industries have you worked in?9- Have you worked with CI/CD pipelines for data deployments or infrastructure? What tools did you use and how did you manage rollouts? 10-Do you have experience working in financial services or other regulated industries? If so, what types of data and systems were involved? </li></ul>Send your resume and reply to above screening questions to : sasha@talenttohire.comFor more positions , visit: https://www.linkedin.com/company/talenttohire/jobs

Senior Data Engineer 

Job Title: Lead Data Support Analyst Location: Toronto, ON (Hybrid) Department: Wealth TechnologiesWe are interviewing for our client seeking a Lead Data Support Analyst to oversee and directly contribute to the daily reliability and performance of its enterprise data and reporting ecosystem. This hybrid role blends hands-on technical troubleshooting with team leadership responsibilities.The successful candidate will lead a team of analysts supporting critical data workflows and serve as a key liaison between business stakeholders, data engineering, and reporting teams. This role requires deep technical expertise, strong leadership skills, and the ability to diagnose and resolve complex data issues efficiently — ensuring the client’s reporting platforms remain accurate, trusted, and continuously available.Background in financial services preferred. Our client utilizes Snowflake as its primary data warehouse and Sigma as the reporting platform. This role leads a team of data support analysts, ensuring the reliability, accuracy, and smooth operation of data and reporting systems.<h3>Key Responsibilities:</h3><ul class="list-disc pl-8"><li>Lead and mentor a team managing support tickets, data issues, and platform concerns</li><li>Troubleshoot and resolve data load failures, access issues, and reporting anomalies across Snowflake, Sigma, and related tools</li><li>Monitor daily data operations and ensure scheduled pipelines and reports run smoothly</li><li>Act as the primary escalation point for complex or high-impact data issues</li><li>Collaborate with reporting analysts and business users to ensure data accuracy and consistency</li><li>Work with data engineering to resolve root causes of recurring issues and implement long-term solutions</li><li>Maintain documentation, runbooks, and dashboards to track support activity and performance</li><li>Identify opportunities to improve support processes through automation and better monitoring</li></ul><h3>Qualifications:</h3><ul class="list-disc pl-8"><li>5+ years of experience in data analytics, operations, or platform support (including 2+ years in a leadership role)</li><li>Strong hands-on skills in Snowflake, SQL, and modern data ecosystems</li><li>Experience with Sigma or other BI tools (e.g., Tableau, Power BI)</li><li>Proven ability to lead teams, resolve technical issues, and communicate with stakeholders across departments</li><li>Proven experience with support tools like Jira, Confluence, or ServiceNow</li><li>Degree in Computer Science, Information Systems, or a related field</li><li>Solid understanding of incident response and root cause analysis</li></ul>Screening Questions:1-Describe a time you resolved a critical data pipeline or reporting failure. What tools did you use and how did you troubleshoot it?2-What hands-on experience do you have with Snowflake and reporting tools like Sigma, Tableau, or Power BI?3-How do you lead and prioritize during a high-impact data issue involving multiple teams?4-Give an example of how you improved or automated a support process in your last 2 jobs?Send your resume to: sasha@talenttohire.comFor more jobs check us here: https://www.linkedin.com/company/talenttohire

Lead Data Support Analyst

<h3>🚀 Business Systems Analyst – Wealth Platform (Agile | API | Data Mapping) 💼 Domain: Wealth Management | Agile Delivery</h3><hr><h4>About the Role</h4>We’re looking for a Business Systems Analyst (BSA) to join a fast-moving Wealth Tech team delivering critical features for a leading Wealth Management platform. This role combines feature ownership, epic/story writing, and test coordination in an Agile environment.You’ll interface with front-end, back-end, data, and core systems teams, so we’re seeking someone with a technical mindset—ideally from a development background or with strong technical fluency.<hr><h4>🔧 Key Responsibilities</h4><ul class="list-disc pl-8"><li>Own end-to-end feature delivery: define, track, and deliver</li><li>Write detailed epics/stories using Jira/Confluence</li><li>Collaborate with developers, analysts, and testers</li><li>Create API mappings, system flows, and data dictionaries</li><li>Act as Scrum Master for feature-level initiatives</li><li>Support QA and validate acceptance criteria</li><li>Bridge communication between business and technical teams</li></ul><h4>🧠 What You Bring</h4><ul class="list-disc pl-8"><li>5+ years in a BSA or similar role, ideally with a technical foundation</li><li>Strong Agile delivery experience; fluent in Jira & Confluence</li><li>Skilled in writing stories for APIs, backend/frontend, and database work</li><li>Hands-on with data mapping, system flows, and integration planning</li><li>Clear communicator with strong stakeholder management</li><li>Knowledge of Wealth Management or Financial Services is a plus</li></ul><h4>👥 Why Join:</h4><ul class="list-disc pl-8"><li>Own key features in a modern Wealth tech stack</li><li>Work closely with business and technical stakeholders</li><li>Hybrid flexibility + collaborative Agile culture</li></ul>📩 Apply Now Send your resume and a short intro to: sasha@talenttohire.com ( include Base Salary/ Bonus, etc.)

Senior Business Systems Analyst - SQL/ wealth Mgmt. 

<h3>Financial Sales Advisor – Flexible Schedule | Six-Figure Potential Part-Time or Full-Time | Remote </h3>Are you driven, coachable, and ready to build a career with unlimited income potential?We're growing our financial services team and looking for motivated individuals to join us. Whether you’re starting out or making a career change or would like to have additional income beside your current job we like to speak with you. We provide full training, licensing support, and mentorship to help you succeed — all on a flexible schedule.<h3>🔹 What You’ll Do</h3><ul class="list-disc pl-8"><li>Build client relationships and offer financial solutions (insurance, investments, planning)</li><li>Use proven systems to grow your own book of business</li><li>Work independently with support from senior advisors</li><li>Set your own hours and pace — part-time or full-time</li></ul><h3>🔹 What We Offer</h3>✅ Full training & licensing support ✅ Commission-based income (six-figure potential) ✅ Mentorship & leadership growth ✅ Work-from-anywhere flexibility<h3>🔹 What We’re Looking For</h3><ul class="list-disc pl-8"><li>✅ Ambitious and coachable individuals ready to take control of their income potential</li><li>✅ Strong communication skills and a positive, people-first attitude</li><li>✅ Self-motivated with a desire to grow personally and professionally</li><li>✅ Previous sales or customer service experience is a bonus, but not required</li></ul><h3>⚠️ Please Note:</h3>This is a 100 % commission-based, independent contractor opportunity — there is no base salary. Ideal for individuals who are performance-driven, enjoy helping others, and are ready to build their own success.Looking forward to connecting and exploring next steps with you!Apply: sasha@talenttohire.com

Financial Sales Advisor-Flexible Schedule

<hr><h1>🚀 Founding Full-Stack Account Executive (GTM)</h1>📍 New York, NY (must be based in or willing to relocate)Ready to do more than just hit quota — and actually build a category-defining company?We’re hiring two Founding Full-Stack Account Executives to join the Go-To-Market team at one of the fastest-growing sales tech startups, backed by elite VCs. If you thrive in high-growth environments, operate like a creator on LinkedIn, and want real ownership and equity, this is your opportunity to shape the GTM engine from day one.<hr><h2>💼 What You’ll Own</h2><ul class="list-disc pl-8"><li>Full-stack sales cycle: prospect → demo → close → expand</li><li>Drive pipeline through LinkedIn presence, outbound, and community engagement</li><li>Build, test, and refine GTM playbooks to fuel rapid growth</li><li>Work side-by-side with the founders on strategy, customer acquisition, and scaling</li><li>As we grow, take on leadership and build out your own team</li></ul><hr><h2>🎯 What We’re Looking For</h2><ul class="list-disc pl-8"><li>3+ years in SaaS or tech sales (ideally at a Series A/B startup)</li><li>Proven top-performer with consistent quota-crushing results</li><li>Strong LinkedIn presence that generates attention, trust, and inbound interest</li><li>NYC-based (or willing to relocate)</li><li>Hungry for ownership, equity, and impact — not just a base salary</li></ul><hr><h2>🔥 Why Join Us</h2><ul class="list-disc pl-8"><li>Join as a founding GTM hire — your fingerprints will shape the entire sales org</li><li>True autonomy + budget to experiment with bold sales strategies</li><li>Meaningful equity in a hyper-growth company attacking a massive market</li><li>Backed by top-tier VCs with deep experience in scaling unicorns</li><li>Direct access to the founders and a voice in every major strategic decision</li></ul><hr><h3>💰 Compensation</h3><ul class="list-disc pl-8"><li>Base: Up to $90K (top range for exceptional candidates)</li><li>Commission: 20% uncapped</li><li>Equity: Meaningful early-stage package</li><li>Total OTE: Highly competitive with massive upside</li></ul>Apply: sasha@talenttohire.com

Fullstack Account Executive ( GTM) 

<h2>🚀 Staff LLMOps Engineer (Cloud / AI Infrastructure)</h2>Location: Downtown Toronto Hybrid: 4 days in officeReady to build what powers the next generation of AI?We’re looking for a Staff LLMOps Engineer to lead the design, deployment, and optimization of large language model (LLM) infrastructure on the cloud. You’ll be the driving force behind taking trained models from lab to production—scaling efficiently across multi-GPU clusters and pushing the boundaries of inference performance for enterprise-grade AI applications.If you thrive at the intersection of AI, cloud engineering, and systems optimization, this is your chance to shape the future of large-scale model serving in a high-impact environment.<h3>What You’ll Do</h3><ul class="list-disc pl-8"><li>Architect and operationalize LLM deployment pipelines on AWS and Kubernetes/EKS.</li><li>Build and scale multi-GPU inference infrastructure for low latency, high availability, and cost efficiency.</li><li>Optimize inference using frameworks like vLLM, SGLang, and DeepSpeed-Inference.</li><li>Implement advanced serving techniques: continuous batching, speculative decoding, KV-cache management, and distributed scheduling.</li><li>Collaborate with AI researchers to convert model training outputs into production-grade APIs and services.</li><li>Establish observability and monitoring for latency, throughput, GPU utilization, and failure recovery.</li><li>Automate provisioning, scaling, and upgrades using Terraform and CI/CD pipelines.</li><li>Ensure compliance, security, and efficiency in multi-tenant LLM hosting for enterprise clients.</li></ul><h3>What We’re Looking For</h3><ul class="list-disc pl-8"><li>6+ years in DevOps, ML infrastructure, or cloud platform engineering.</li><li>2+ years of direct experience deploying and optimizing LLMs or large-scale ML models.</li><li>Expertise with GPU-accelerated inference and distributed serving environments.</li><li>Deep familiarity with cloud-native architectures (AWS, GCP, Azure) and Kubernetes.</li><li>Strong foundation in Python, Bash, and IaC (Terraform).</li><li>Experience integrating monitoring tools (Prometheus, Grafana, Datadog) for performance visibility.</li><li>Passion for building robust, scalable, and secure AI systems.</li></ul><h3>Why Join</h3><ul class="list-disc pl-8"><li>Lead and own mission-critical AI infrastructure at a fast-scaling startup.</li><li>Work alongside world-class engineers, data scientists, and innovators.</li><li>Competitive salary + meaningful equity in a company redefining applied AI.</li><li>A culture built on innovation, technical depth, and impact—your work truly matters.</li></ul>Apply: sasha@talenttohire.com

Senior LLMOps Engineer -Cloud / AI Infrastructure

<h3>Senior AI Engineer - Agentic Systems / LLMOPS</h3>We’re looking for an AI Engineer with deep technical expertise in agentic AI systems, LLM orchestration, and cloud deployment. The ideal candidate has hands-on experience building, deploying, and optimizing multi-agent architectures, integrating Retrieval-Augmented Generation (RAG), and delivering production-grade AI workflows on AWS or similar cloud environments.You’ll be at the center of innovation — turning complex semiconductor design workflows into scalable, autonomous AI agents capable of long-horizon reasoning and execution.<h3>Technical Requirements (Must-Have)</h3>✅ Education & Experience<ul class="list-disc pl-8"><li>Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.</li><li>5–10 years of software development experience in cloud environments; 2+ years hands-on with agentic AI or LLM deployment.</li></ul>✅ Agentic AI Development<ul class="list-disc pl-8"><li>Experience building and deploying multi-agent AI systems.</li><li>Knowledge of supervisor/sub-agent orchestration patterns.</li><li>Hands-on with LangChain, LangGraph, LangSmith.</li><li>Proficient in RAG pipelines, memory management, and agent evaluation.</li></ul>✅ Programming & Infrastructure<ul class="list-disc pl-8"><li>Strong Python skills with backend API integration experience.</li><li>Familiarity with containerized deployment (Docker, Kubernetes) and CI/CD pipelines.</li><li>Experience with AWS or similar cloud platforms.</li></ul>✅ Performance & Monitoring<ul class="list-disc pl-8"><li>Design and implement evaluation pipelines (grounding accuracy, reasoning robustness, tool reliability).</li><li>Knowledge of monitoring and observability tools like Prometheus, Grafana, or Datadog.</li><li>Optimize AI systems for scalability, low latency, and high throughput.</li></ul><h3>Responsibilities</h3><ul class="list-disc pl-8"><li>Build, deploy, and optimize multi-agent AI systems integrating enterprise workflows.</li><li>Implement RAG pipelines, long-term memory, and multi-step reasoning.</li><li>Collaborate with AI researchers and engineers to operationalize models in production.</li><li>Monitor and fine-tune agent performance in cloud environments.</li></ul><h3>Preferred Experience</h3><ul class="list-disc pl-8"><li>Contributions to open-source AI projects.</li><li>Experience with reinforcement learning, planning algorithms, or autonomous reasoning.</li><li>Knowledge of semiconductor tool integrations.</li></ul>Apply: sasha@talenttohire.com Follow us here for more jobs : https://www.linkedin.com/company/talenttohire

Senior Agentic AI Engineer  

Senior Application Support Administrator – Wealth Systems Downtown Toronto | Hybrid 4 days downtownWe’re looking for a Senior Application Support Administrator to manage and support Wealth Management systems and enterprise applications. You’ll oversee system performance, integrations, upgrades, and configurations, ensuring stability and security across critical wealth platforms.What You’ll Do:<ul class="list-disc pl-8"><li>Administer and optimize Wealth Management platforms</li><li>Collaborate with IT, vendors, and business teams for seamless delivery</li><li>Manage access, patching, monitoring, and troubleshooting</li><li>Support cloud and on-prem deployments, audits, and compliance</li></ul>What You Bring:<ul class="list-disc pl-8"><li>5+ years in enterprise application support (Wealth/Financial Services)</li><li>Knowledge of ServiceNow, JIRA, APIs, and cloud (AWS/Azure)</li><li>Excellent problem-solving and communication skills</li><li>Scripting (PowerShell) experience ( nice to have)</li></ul>Join a growing Technology team driving modernization and digital innovation.<ol class="list-decimal pl-8"><li>Wealth / Financial Systems Exposure<ul class="list-disc pl-8"><li>“Have you worked with dealer book of record systems or platforms like RPM or similar wealth management systems?”</li></ul></li><li>System Upgrades & Maintenance<ul class="list-disc pl-8"><li>“Can you walk me through how you’ve managed system upgrades or application patching in a production environment?”</li></ul></li><li>Incident & Ticket Management<ul class="list-disc pl-8"><li>“Which ticketing tools have you used (like ServiceNow or JIRA), and how do you typically prioritize and resolve high-impact support issues?”</li></ul></li><li>Cloud & On-Prem Deployments<ul class="list-disc pl-8"><li>“Do you have experience managing or deploying applications in cloud environments such as AWS or Azure? How about on-premises infrastructure?”</li></ul></li><li>Access & Security Management<ul class="list-disc pl-8"><li>“What’s your approach to managing user access, roles, and security permissions — and ensuring compliance with InfoSec or audit requirements?”</li></ul></li><li>Automation / Scripting<ul class="list-disc pl-8"><li>“Have you used any scripting tools like PowerShell or Python to automate administrative or monitoring tasks? Can you give an example?”</li></ul></li><li>Collaboration & Vendor Coordination<ul class="list-disc pl-8"><li>“This role requires working closely with vendors and internal IT teams — can you describe a time you coordinated with multiple teams to resolve an application issue?”</li></ul></li><li>Monitoring & Performance Tuning<ul class="list-disc pl-8"><li>“How do you typically monitor system health or performance? What tools or methods have you used for log analysis or proactive issue detection?”</li></ul></li><li>Disaster Recovery & Compliance</li></ol><ul class="list-disc pl-8"><li>“Have you been involved in disaster recovery planning, backup management, or IT audits for enterprise systems? If yes, what was your role?”</li></ul>Follow us for more roles here: https://www.linkedin.com/company/talenttohireApply: sasha@talenttohire.com#WealthTech #Applicationsupport #TorontoJobs #ITJobs #FinancialServices #CloudComputing #AWS #Azure #DataEngineering #TechCareers #HiringNow

Senior Application Support Administrator

<h3>Project Manager / Delivery Lead ( Financial/ Development background)</h3> 💼 Employment Type: Full-Time | 📅 Start Date: ASAP | 📍 Location: 4 days Hybrid /Downtown Toronto<h4>About the Role</h4>We’re seeking a Project Manager / Delivery Lead ( with proven record working history within Financial, Banking or Wealth mgmt sector. You will oversee the successful delivery of key business solutions and strategic initiatives. The ideal candidate is a seasoned project management professional with a strong background in Agile delivery, stakeholder engagement, and cross-functional leadership.This role requires someone who can balance strategic oversight with hands-on execution, ensuring every project aligns with business goals and technical outcomes.<hr><h4>Core Competencies</h4>Project Management & Delivery<ul class="list-disc pl-8"><li>Plan and execute projects end-to-end, managing scope, timelines, budgets, and resources.</li><li>Build and maintain relationships with stakeholders to ensure clear communication and alignment.</li><li>Identify and mitigate risks early, resolving issues proactively.</li><li>Lead Agile ceremonies — stand-ups, sprint planning, retrospectives — and drive continuous improvement.</li></ul>Tools & Platforms<ul class="list-disc pl-8"><li>Skilled in Jira, Confluence, and Smartsheet for project tracking and team collaboration.</li><li>Experienced in producing dashboards, reports, and documentation to support governance.</li><li>Familiar with cloud platforms (AWS, Azure, GCP) to coordinate delivery in modern tech environments.</li></ul>Delivery Experience<ul class="list-disc pl-8"><li>Proven success managing full project lifecycles from initiation through closure.</li><li>Strong ability to optimize processes and streamline workflows for better delivery outcomes.</li><li>Experienced in leading and mentoring cross-functional teams to achieve shared objectives.</li><li>Skilled in change management, ensuring stakeholder buy-in and smooth transitions.</li></ul>Technical Awareness - Preference will be given to applicants with following;<ul class="list-disc pl-8"><li>Familiarity with Python, Java, JavaScript, SQL, and general development environments.</li><li>Understanding of CI/CD concepts, deployment pipelines, and release processes.</li><li>Knowledge of APIs and web services (REST, SOAP) for integration projects.</li></ul><hr><h4>Ideal Candidate Profile</h4><ul class="list-disc pl-8"><li>7+ years of experience in Project Management or Delivery Leadership roles.</li><li>Strong organizational, communication, and leadership skills.</li><li>PMP, CSM, or Agile certification preferred.</li><li>Background in technology, financial services, or consulting is a plus.</li></ul><hr><h4>Why Join</h4>You’ll lead high-impact, strategic initiatives with collaborative teams, helping shape and deliver innovative solutions that drive business success.

Project Manager - Delivery Lead ( Financial/ Software)

INTERMEDIATE DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard an Intermediate Data Engineer to join their Data & Analytics team . We are looking for an Intermediate Data Engineer with proven track record working within the Financial sector. You’ll help build and optimize scalable data pipelines, support data governance, and enable advanced analytics across the organization. Be part of a high-impact team driving data innovation in the wealth tech space.What You’ll Do:<ul class="list-disc pl-8"><li>Design, build, and maintain robust ETL/ELT data pipelines.</li><li>Collaborate with analysts and business teams to translate needs into technical solutions.</li><li>Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools.</li><li>Ensure data quality, observability, and governance across systems.</li><li>Support migration projects to cloud-based platforms.</li></ul>What You’ll Bring:<ul class="list-disc pl-8"><li>5-7 years of data engineering experience.</li><li>Must have Solid SQL and either Snowflake or Databricks,</li><li>DBT and/or Airflow</li><li>Experience with CI/CD, data lineage, and monitoring tools.</li><li>Financial services ( Wealth Mgmt. / Asset Mgmt./ Capital Markets) is Nice to have.Screening Questions ( If you are comfortable with answering below questions at ease, apply) :1-How proficient are you with programming languages and tools for data engineering tasks (e.g., SQL, Python, Airflow, Terraform)? how many years?2- Can you describe your experience designing, building, and maintaining ETL/ELT pipelines? Which tools and technologies did you use?3-Have you worked directly with analysts or business stakeholders to translate business needs into technical data solutions? Can you share an example?4-What is your experience designing data architectures on AWS using services like Glue, S3, Lambda, and Redshift or Snowflake?5-How do you ensure data quality, observability, and lineage in your pipelines? What tools or practices have you implemented?6-Have you participated in or led a cloud data migration project? What was your role and what challenges did you face?7- Have you worked with CI/CD pipelines for data deployments or infrastructure? What tools did you use and how did you manage rollouts? 8-Do you have experience working in financial services or other regulated industries? If so, what types of data and systems were involved? </li></ul>Send your resume and reply to above screening questions to : sasha@talenttohire.comFor more positions , visit: https://www.linkedin.com/company/talenttohire/jobs

Intermediate Data Engineer ( SQL, Databricks/ Snowflakes, DBT, Airflow)

<h2>Technology Support Analyst (Open)</h2><h3>About the Role</h3>We’re looking for a Technology Support Analyst to join our Wealth Systems team. In this role, you’ll ensure the smooth operation of our wealth management platforms by providing exceptional technical support, resolving system issues, and maintaining system performance.You’ll collaborate with cross-functional teams—development, infrastructure, and product—to troubleshoot problems, implement improvements, and support system upgrades. This is an exciting opportunity for someone who thrives in a fast-paced, technical environment and is passionate about solving complex challenges.<hr><h3>What You’ll Do</h3><ul class="list-disc pl-8"><li>Provide timely and professional technical support for wealth management systems.</li><li>Diagnose, troubleshoot, and resolve system and application issues using SQL and diagnostic tools.</li><li>Monitor system performance to proactively detect and prevent potential issues.</li><li>Assist users in incident submission and maintain clear support documentation.</li><li>Collaborate with development and infrastructure teams to resolve bugs, deploy patches, and enhance system functionality.</li><li>Manage and prioritize support tickets through ServiceNow, JIRA, or similar tools, ensuring quick resolution of critical incidents.</li><li>Participate in system upgrades, patches, and testing activities.</li><li>Provide status reports and performance metrics to management.</li></ul><hr><h3>What You Bring</h3><ul class="list-disc pl-8"><li>Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience).</li><li>2–3 years of experience in technical support, ideally within financial or wealth management systems.</li><li>New graduates with relevant technical degrees are encouraged to apply.</li></ul>Technical Skills:<ul class="list-disc pl-8"><li>Proficiency with ticketing systems such as ServiceNow and JIRA.</li><li>Strong troubleshooting skills across servers, databases, and applications.</li><li>Ability to perform root cause analysis and create action plans for prevention.</li><li>Hands-on experience with SQL databases and query tools.</li><li>Familiarity with API integrations and system interoperability.</li><li>Experience maintaining technical documentation using Confluence or Microsoft OneNote.</li></ul>Soft Skills:<ul class="list-disc pl-8"><li>Excellent communication skills, both written and verbal.</li><li>Strong problem-solving mindset and high attention to detail.</li><li>Ability to work collaboratively with technical and non-technical teams.</li><li>Customer-first attitude and commitment to delivering quality support.</li></ul><hr><h3>Nice to Have</h3><ul class="list-disc pl-8"><li>Experience supporting WealthTech, FinTech, or other financial systems.</li><li>Exposure to monitoring tools and incident response frameworks.</li><li>Familiarity with cloud-based environments (AWS, Azure, or GCP).</li></ul><hr><h3>Additional Details</h3><ul class="list-disc pl-8"><li>Work Schedule: Rotating shifts between 7:00 AM and 8:00 PM.</li><li>Location: Downtown Toronto ( 5 minutes walking distance from Union Station)</li><li>Career Growth: Opportunity to advance within a dynamic technology team focused on operational excellence and innovation.</li></ul>

Technical Support Analyst ( Level 1) 

<h1>Director of Software Engineering (AI/ ML / SAAS - Startup)</h1>Location: Downtown Toronto, Full-Time | Hybrid 4 daysWe are looking for a Software Engineering Leader (Director or experienced Senior Manager) to build and scale our Toronto engineering office. This is a unique opportunity to help grow a cutting-edge AI-driven SaaS company.In this role, you will grow the Toronto site into a high-performing engineering organization. You’ll provide technical oversight, lead delivery, and establish a strong, collaborative culture. While focused on leadership, you’ll remain close enough to the technology to mentor engineers and contribute to key technical decisions.You will work directly with the VP of Software and collaborate with teams in California to ensure alignment on engineering direction, execution, and product vision.<hr><h2>Key Responsibilities</h2><h3>Build & Scale the Toronto Office</h3><ul class="list-disc pl-8"><li>Hire and develop a team of 20–30 engineers (frontend, backend, ML/AI, data, devtools).</li><li>Create a strong, high-performance engineering culture.</li></ul><h3>Stay Technically Engaged</h3><ul class="list-disc pl-8"><li>Maintain technical credibility and participate in architecture and design discussions.</li><li>Provide guidance on systems, design, and engineering best practices.</li></ul><h3>Develop & Mentor Talent</h3><ul class="list-disc pl-8"><li>Recruit talent through strong relationships with Canadian universities and local markets.</li><li>Coach engineers, develop future leaders, and uphold engineering excellence.</li></ul><h3>Lead Delivery Across Value Streams</h3><ul class="list-disc pl-8"><li>Own end-to-end product delivery from planning to adoption.</li><li>Partner with product, AI, and chip teams on roadmap execution.</li></ul><h3>Bridge Toronto & California</h3><ul class="list-disc pl-8"><li>Ensure communication and alignment across distributed teams.</li><li>Establish effective engineering rituals and cross-site collaboration practices.</li></ul><hr><h2>Ideal Experience</h2><ul class="list-disc pl-8"><li>Leadership experience (Sr. Manager, Director) managing 15+ engineers.</li><li>10+ years in software engineering with progression from developer → tech lead → leader.</li><li>Technical depth in cloud-native systems, SaaS platforms, and AI/ML environments.</li><li>Strong track record delivering complex products and scaling engineering teams.</li><li>Skilled in hiring, mentoring, communication, and cross-site collaboration.</li></ul><hr><h2>What We Offer</h2><ul class="list-disc pl-8"><li>A pivotal opportunity to build and scale the Toronto engineering office.</li><li>Direct collaboration with senior and cross-disciplinary engineering leadership.</li><li>Strong connections to top Canadian universities and research institutes.</li><li>Competitive salary and early-stage equity.</li><li>A high-trust, low-ego culture focused on ownership, innovation, and collaboration.</li></ul><hr><h2>Level & Growth Path</h2>We are targeting Director-level candidates. However, strong Managers or Senior Managers who meet the criteria and are ready for the next step are encouraged to apply. The role can be scoped as Manager or Senior Manager with a performance-based promotion path as the site grows.<h5></h5><hr>Technical Skills<ul class="list-disc pl-8"><li>Cloud-Native Architecture</li><li>SaaS Platforms</li><li>AI/ML Systems</li><li>Distributed Systems</li><li>Software Design & Architecture</li><li>DevTools & Developer Productivity</li><li>SDLC & Agile Execution</li></ul>Delivery & Execution<ul class="list-disc pl-8"><li>Roadmap Ownership</li><li>End-to-End Product Delivery</li><li>Cross-Site Communication</li><li>Execution Planning</li><li>Risk Management</li><li>System Reliability & Best Practices</li></ul>Soft Skills<ul class="list-disc pl-8"><li>Strategic Thinking</li><li>Communication</li><li>Culture Building</li><li>High-Performance Teaming</li><li>Stakeholder Alignment</li></ul>Screening Questions1. Leadership Experience<ul class="list-disc pl-8"><li>How many engineers have you directly managed at one time?</li><li>Have you scaled a team or site before? If yes, how large and in what timeframe?</li></ul>2. Technical Background<ul class="list-disc pl-8"><li>Describe your experience with cloud-native systems (AWS, GCP, Azure, etc.).</li><li>What exposure do you have to AI/ML systems or data-intensive architectures?</li></ul>3. Delivery & Execution<ul class="list-disc pl-8"><li>Provide an example of a product or feature you led from planning to launch.</li><li>How do you ensure delivery alignment across distributed or cross-functional teams?</li></ul>4. Hiring & Talent Development<ul class="list-disc pl-8"><li>What role have you played in recruiting and onboarding engineers?</li><li>How do you coach engineers toward technical leadership?</li></ul>Apply: sasha@talenttohire.comFollow us at : https://www.linkedin.com/company/talenttohire

Director of Software Engineering (SAAS/ AI/ ML) 

Recruitment Consultant - specialized in Accounting & Finance sectorRemoteTalent To Hire (TTH )is seeking to collaborate with Strategic Talent Partners / experienced recruiters, talent advisors, and connectors within the accounting and finance ecosystem who are interested in forming a strategic partnership rather than a traditional recruiting role.🔍 Calling Accounting & Finance Recruiters with Strong Networks 💼🤝Are you well-connected on LinkedIn and open to building long-term, passive income through strategic partnerships—without traditional recruiting or cold outreach? Experienced recruiters and connectors in the accounting & finance space who want to leverage their network, grow their influence, and create recurring income in a flexible, remote-first model 🌍 This is a remote role with 2 days per month attending training in Richmond Hill. This opportunity works well for individuals keen to build Long-Term Income by Leveraging their Professional Network.• This is not employment and compensation is performance-based, tied to business development • You’re building something long-term, not filling a role • Training, mentorship, and support are provided • Ideal for relationship-driven professionals exploring entrepreneurshipIf that aligns with what you’re looking for, happy to have a confidential conversation.✨If you’re curious about monetizing your network in a smart, sustainable way, let’s talk.sasha@talenttohire.com#Recruiters #AccountingCareers #FinanceProfessionals #StrategicPartnerships #PassiveIncome #LinkedInNetworking #RemoteOpportunity

Recruitment Consultant/Strategic Talent Partner in Finance & Accounting

<h1>Director/ Sr. Manager of Software Engineering</h1>We’re seeking a senior software engineering leader (Director or an experienced Sr. Manager ready to step up) to build and scale our Toronto engineering office. This is a rare opportunity to help establish the foundation of an AI-driven SaaS company transforming semiconductor design.In this role, you’ll grow a high-performing team, own technical delivery, and shape engineering culture—while staying close enough to the technology to influence architecture and design decisions. You’ll work directly with the VP of Software and collaborate closely with engineering and science leaders in Silicon Valley to drive a shared technical and product vision.This role is ideal for a leader who thrives at the intersection of team building, execution, and technical depth in modern SaaS and AI environments. Hybrid with 4 days in office.<h3>What You’ll Do</h3><ul class="list-disc pl-8"><li>Build and scale the Toronto office to 20–30 engineers across frontend, backend, AI/ML, data, and devtools.</li><li>Establish a strong engineering culture focused on quality, ownership, and collaboration.</li><li>Provide technical leadership through design reviews and architectural guidance.</li><li>Own end-to-end delivery of product initiatives, partnering with product and AI teams.</li><li>Hire, mentor, and develop engineers into future technical and people leaders.</li><li>Act as a bridge between Toronto and California, enabling effective cross-site collaboration.</li></ul><h3>What We’re Looking For</h3><ul class="list-disc pl-8"><li>MUST have 12+ years of experience with progression from hands-on engineer to senior leadership.</li><li>Proven success already leading and scaling teams of 15+ engineers in fast-moving environments.</li><li>Strong technical credibility in cloud-native SaaS and AI/ML systems needed.</li><li>Demonstrated ownership of complex, end-to-end software delivery.</li><li>Excellent people leadership, communication, and cross-site collaboration skills.</li><li>Working experience in start-ups a plus.</li></ul><hr><h2>Screening Questions</h2><ol class="list-decimal pl-8"><li>Scaling Teams: Describe a team or office you’ve built or scaled. How large did it grow, and what were the biggest challenges?</li><li>Technical Leadership: How do you stay technically credible while operating primarily as an engineering leader?</li><li>Delivery Ownership: Tell us about a complex product or platform you owned from planning through delivery. What was your role?</li><li>Culture & Talent: How do you hire and develop engineers to create a high-performance engineering culture?</li><li>Distributed Collaboration: What strategies have you used to align and execute effectively across geographically distributed teams?</li><li>AI/ML Experience : Have you led or directly supported the development and production deployment of AI/ML-powered features or platforms (e.g., model integration, ML pipelines, data infrastructure, or AI-driven SaaS products)?</li></ol>Apply: sasha@talenttohire.comFollow us at : https://www.linkedin.com/company/talenttohire

Director / Sr. Manager of Software Engineering (SAAS/ AI/ ML)  

<h2>Security Engineering Lead / Security Officer</h2>Location: Toronto (Hybrid/Remote-friendly)We’re looking for a pragmatic, hands-on Security Engineering Lead or Security Officer to build and own security at an AI-driven SaaS company transforming semiconductor design. You’ll define and execute security strategy across product, cloud infrastructure, compliance, and operations—ensuring we meet enterprise standards like SOC 2 and earn customer trust.This is a foundational role with direct impact on product security, enterprise adoption, and company scale.<hr><h3>What You’ll Do</h3><ul class="list-disc pl-8"><li>Own security for our AWS-based, cloud-native SaaS platform</li><li>Design secure architectures for LLM endpoints, APIs, and microservices</li><li>Lead SOC 2 compliance, audits, and continuous monitoring</li><li>Establish incident response, disaster recovery, and secure SDLC practices</li><li>Oversee vulnerability management, logging, and CI/CD security</li><li>Lead employee security training and endpoint/device protection</li><li>Act as the security point of contact for enterprise customers and audits</li></ul><hr><h3>What We’re Looking For</h3>Required<ul class="list-disc pl-8"><li>8+ years in security leadership within SaaS or cloud-native environments</li><li>Proven experience with SOC 2, ISO 27001, or similar frameworks</li><li>Strong knowledge of AWS security, IAM, Kubernetes</li><li>Experience building security programs from scratch</li><li>Excellent cross-functional communication skills</li></ul>Preferred<ul class="list-disc pl-8"><li>Experience in high-IP or regulated industries (semiconductor, EDA, deep tech)</li><li>Exposure to export controls or sensitive data governance</li><li>Startup experience and high-ownership mindset</li></ul>

Senior Security Engineer 

<h2>Job Title: Staff DevOps Engineer</h2>Location: Toronto -Hybrid (4 days)We are hiring a Staff DevOps Engineer to design and scale a DevOps and MLOps platform for an enterprise-grade semiconductor design automation SaaS. This is a hands-on, senior role responsible for cloud infrastructure, CI/CD, observability, security, and ML infrastructure from day one.You’ll partner closely with software and AI teams to ensure our platform is scalable, reliable, secure, and production-ready.<hr><h3>Core Responsibilities</h3><ul class="list-disc pl-8"><li>Architect and implement DevOps & MLOps frameworks</li><li>Design and manage AWS infrastructure using Terraform (IaC)</li><li>Build and maintain CI/CD pipelines</li><li>Operate containerized workloads using Docker and Kubernetes (EKS/ECS)</li><li>Establish monitoring, logging, and alerting</li><li>Enforce security best practices, IAM/RBAC, and compliance controls</li></ul><hr><h3>Required Skills & Experience</h3><ul class="list-disc pl-8"><li>8+ years in DevOps / Infrastructure Engineering</li><li>5+ years of hands-on AWS experience</li><li>Strong expertise in Terraform, Docker, and Kubernetes</li><li>Proven experience building CI/CD pipelines (Jenkins or similar)</li><li>Experience with monitoring/observability (Prometheus, Grafana, ELK, CloudWatch)</li><li>Solid understanding of networking, security, and cloud architecture</li><li>Programming/scripting in Python, Bash, Go, YAML/JSON</li><li>Exposure to MLOps (model deployment, MLflow/Kubeflow preferred)</li></ul>Apply: sasha@talenttohire.comFollow us for more roles at https://www.linkedin.com/company/talenttohire/<hr>

Senior Staff Devops Engineer (AWS, Start-up)

Senior Security Engineer (AWS, Kubernetes, Start-up exp. Pref)Location: Toronto (Hybrid / 4 days)About Our ClientOur client is building a next-generation IDE designed to empower engineers in high-performance computing and advanced engineering domains with a 10× productivity boost through AI-native workflows and seamless integration with high-performance simulation engines.As an AI SaaS company serving these highly specialized engineering teams, our client is entrusted with sensitive design, model, and infrastructure data. They are seeking an experienced Senior Security Engineer to help build and scale their security function.The RoleYou will own and drive key security initiatives across product, cloud infrastructure, compliance, and operations, ensuring enterprise-grade security standards such as SOC 2, while enabling engineering teams to move quickly with secure-by-default systems.Key ResponsibilitiesCloud & Infrastructure Security<ul class="list-disc pl-8"><li>Design, implement, and maintain security controls across AWS and Kubernetes</li><li>Manage IAM, network security, and secrets management</li><li>Conduct security architecture reviews for new services and infrastructure changes</li></ul>Security Operations & Incident Response<ul class="list-disc pl-8"><li>Develop and maintain incident response playbooks and runbooks</li><li>Lead security incident investigations, containment, and post-incident reviews</li><li>Build detection, alerting, and monitoring across infrastructure and applications</li></ul>Secure Engineering Enablement<ul class="list-disc pl-8"><li>Build security guardrails across CI/CD pipelines, infrastructure-as-code, and cloud environments</li><li>Enable engineering teams with secure templates, tooling, and self-service security capabilities</li></ul>Required Qualifications<ul class="list-disc pl-8"><li>4+ years of hands-on security engineering experience</li><li>Strong understanding of cloud security architecture (AWS preferred), Kubernetes, and IAM</li><li>Proven experience leading incident investigations and building detection capabilities</li><li>Experience implementing security controls across CI/CD and infrastructure-as-code</li><li>Excellent communication skills and ability to influence cross-functional stakeholders</li></ul>Preferred Qualifications<ul class="list-disc pl-8"><li>Experience with SOC 2, ISO 27001, or similar compliance frameworks</li><li>Startup experience and comfort working in a fast-paced, high-ownership environment</li><li>Proficiency in one or more of: Python, Java, Go, or TypeScript</li><li>Experience with corporate security (endpoint protection, identity management, SSO/MFA)</li></ul>

Security Engineer (AWS, Kubernetes, Java/ Python)

<h2>Job Title: Senior Software Engineer – IDE & Desktop Applications</h2>Location: Toronto, Hybrid 4 days<h3>About the Role</h3>We’re hiring a Senior Software Engineer to build and extend a VS Code–based, AI-powered desktop IDE for complex engineering workflows. This is not a traditional web role—you’ll focus on desktop application development, deep IDE integrations, advanced visualizations, and performance-critical features used by technical teams.<h3>What You’ll Do</h3><ul class="list-disc pl-8"><li>Build and maintain VS Code extensions and Electron-based IDE features</li><li>Develop AI-assisted coding, linting, collaboration, and visualization capabilities</li><li>Integrate IDE features with backend APIs and services</li><li>Optimize cross-platform desktop performance (Windows, macOS, Linux)</li><li>Collaborate with design and engineering teams on polished IDE UX</li></ul><h3>Required Experience</h3><ul class="list-disc pl-8"><li>6+ years in software engineering; 4+ years in desktop/IDE development</li><li>Strong TypeScript, JavaScript, React</li><li>Hands-on VS Code extension or plugin-based IDE experience</li><li>Experience with Electron, state management, and performance optimization</li><li>Familiarity with Git and CI/CD workflows</li></ul><h3> Nice to Have</h3><ul class="list-disc pl-8"><li>AI/LLM-powered developer tools</li><li>Electron internals, packaging, and distribution</li><li>Syntax highlighting, parsers, or IDE UX patterns</li><li>Experience with complex engineering tools or workflows</li></ul><h2> Knockout Questions (Yes / No)</h2><ol class="list-decimal pl-8"><li>Do you have hands-on experience building or maintaining VS Code extensions or IDE plugins used in production?</li><li>Have you developed and shipped Electron-based desktop applications to end users?</li><li>Do you have 4+ years of professional experience in desktop or IDE application development?</li><li>Are you proficient in TypeScript and modern JavaScript frameworks such as React?</li><li>Have you optimized performance for desktop or IDE applications (startup time, memory, UI responsiveness)?</li></ol>Apply: sasha@talenttohire.comFollow us for more roles at https://www.linkedin.com/company/talenttohire/<hr>

Senior Software Engineer ( VS Code–based, AI-powered desktop IDE)

<h2>Senior AI Engineer – Agentic Systems / LLMOps</h2>Location: Downtown Toronto- 4 days Hybrid Company: WorkwolfAbout the RoleWe’re looking for a Senior AI Engineer with deep technical expertise in agentic AI systems, LLM orchestration, and production-grade deployment. This role sits at the intersection of advanced AI research and real-world system engineering.You’ll design, build, and deploy autonomous, multi-agent AI workflows that translate complex semiconductor design processes into scalable, intelligent systems capable of long-horizon reasoning, planning, and execution.If you’ve built AI systems that go beyond chatbots — agents that reason, retrieve, act, and improve — this role is for you.<hr><h2>What You’ll Do</h2><ul class="list-disc pl-8"><li>Design and implement agentic AI architectures using modern LLM frameworks</li><li>Build and optimize multi-agent systems with tool use, memory, planning, and feedback loops</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and structured data sources</li><li>Develop LLMOps pipelines for evaluation, monitoring, prompt/version control, and model optimization</li><li>Deploy and scale AI services on AWS or similar cloud platforms (Docker, CI/CD, IaC)</li><li>Partner with domain experts to convert semiconductor design workflows into autonomous AI agents</li><li>Ensure systems are reliable, observable, secure, and production-ready</li></ul><hr><h2>Technical Requirements (Must-Have)</h2><h3>Education & Experience</h3><ul class="list-disc pl-8"><li>Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field</li><li>8+ years of software engineering experience, with 2+ years focused on applied AI / LLM systems</li></ul><h3>Core Technical Skills</h3><ul class="list-disc pl-8"><li>Strong experience building agentic AI systems (planning, tool use, memory, multi-step reasoning)</li><li>Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or similar)</li><li>Proven experience implementing RAG pipelines using vector databases (Pinecone, Weaviate, FAISS, OpenSearch, etc.)</li><li>Proficiency in Python (required); experience with async systems and APIs</li><li>Experience deploying AI systems to AWS (EC2, ECS/EKS, Lambda, S3, IAM, etc.)</li><li>Strong understanding of LLMOps: evaluation, monitoring, prompt/versioning strategies, and model lifecycle management</li></ul><hr><h2>Nice to Have</h2><ul class="list-disc pl-8"><li>Experience with long-horizon planning agents or autonomous workflows</li><li>Familiarity with open-source LLMs and fine-tuning strategies</li><li>Knowledge of security, compliance, and data governance in AI systems</li><li>Background in distributed systems or high-scale backend architecture</li></ul>Apply: sasha@talenttohire.comFollow us for more roles at https://www.linkedin.com/company/talenttohire/

Senior Agentic AI Engineer ( Start-up) 

Staff FPGA Design EngineerWe’re hiring a Staff FPGA Design Engineer to help combine deep chip design expertise with machine learning to build intelligent, end-to-end silicon design flows that move from research to production.<h3>What You’ll Do</h3><ul class="list-disc pl-8"><li>Serve as FPGA/RTL domain expert for AI-driven chip design assistants</li><li>Architect modern EDA workflows (spec to bitstream)</li><li>Enable AI agents to generate correct-by-construction RTL, manage IP, and build processor-based systems</li><li>Develop libraries, tools, datasets, and benchmarks to accelerate design velocity</li><li>Define strong verification standards and guide AI-generated UVM environments</li></ul><h3>What You Bring</h3><ul class="list-disc pl-8"><li>Master’s in Electric Engineering, Computer Science or related field</li><li>10–15 years of RTL design and/or verification experience</li><li>Deep expertise in Xilinx (Vivado/Vitis) and Intel/Altera (Quartus) ecosystems</li><li>Strong knowledge of AXI, PCIe, Ethernet, NoC, DDR5,SPI, I2C</li><li>Proficiency in SystemVerilog, Python, TCL</li><li>Clear communicator comfortable in a fast-paced AI startup</li></ul><h3>Bonus</h3><ul class="list-disc pl-8"><li>Open-source contributions (Verilator, Cocotb, Yosys, OpenSTA)</li><li>Experience across full chip flow</li><li>Exposure to ML or deep learning</li><li>Past working experience for an AI startup</li></ul>In a few lines, explain WHY YOU are an ideal fit for this Staff FPGA Design Engineer role.sasha@talenttohire.com

Staff FPGA Design Engineer

<h2>Senior RTL Design Engineer </h2>📍 Toronto, Ontario (Hybrid – 4 days onsite)Our client, an innovative AI-driven semiconductor technology company, is seeking a Senior RTL Design Engineer to help transform silicon design workflows using advanced artificial intelligence.This is a unique opportunity to sit at the intersection of AI and chip design, partnering with ML and software teams while working closely with customers to integrate next-generation AI tools into real-world semiconductor flows.<h3>What You’ll Do</h3><ul class="list-disc pl-8"><li>Act as the hardware domain expert bridging AI/ML and silicon design</li><li>Apply AI to optimize RTL-to-GDS chip design flows</li><li>Develop benchmarks and evaluation infrastructure for design quality</li><li>Build and verify RTL using SystemVerilog/UVM</li><li>Support customers integrating AI-driven solutions into their design environments</li></ul><h3>What You Bring</h3><ul class="list-disc pl-8"><li>Master’s degree in Electrical Engineering, Computer Science, or related field</li><li>5–10 years of experience in RTL design and/or verification</li><li>Strong Verilog/SystemVerilog and Python skills</li><li>Experience with FPGA (Vivado, Quartus) or ASIC design flows</li><li>Excellent communication skills and a customer-focused mindset</li></ul><h3>Nice to Have</h3><ul class="list-disc pl-8"><li>Experience across multiple stages of chip design (RTL, synthesis, physical design)</li><li>Familiarity with open-source EDA tools (Yosys, Verilator, OpenSTA, etc.)</li><li>Exposure to machine learning or AI-driven design methodologies</li></ul>Send your resume to : sasha@talenttohire.com

Senior RTL Design Engineer

<h1>Staff Software Engineering Lead</h1>📍 Toronto, Canada ( Hybrid 4 days) Our client is building an AI-native SaaS platform transforming the way engineers design and build complex systems.. We are looking for a Staff / Senior Staff Software Engineer to launch and lead their new Toronto engineering team.You’ll be the technical lead for a multidisciplinary team across frontend, backend, data platforms, ML infrastructure, and developer tooling. Working closely with the VP of Software and Silicon Valley engineers, you’ll build scalable systems, recruit top talent, and define the technical culture for the Toronto office. This role can grow into a Site Lead or Engineering Manager within 12–24 months.Requirements:<ul class="list-disc pl-8"><li>10+ years software engineering, 3+ years in leadership needed.</li><li>Cloud-native SaaS experience (microservices, data platforms, or developer tools)</li><li>Expertise in at least two: backend, frontend, IDE/devtools, ML/AI platforms</li><li>Strong mentorship and collaboration skills</li></ul>Why Join:<ul class="list-disc pl-8"><li>Build a high-impact team from day one</li><li>Work at the intersection of AI, cloud, and semiconductor design</li><li>Competitive pay + equity</li></ul>Apply: sasha@talenttohire.com

Staff Software Engineering Lead

<h2>Technical Support Analyst – Wealth Systems (Toronto, ON)</h2>We are seeking a Senior Technical Support Analyst to provide expert support for wealth management platforms. This role involves troubleshooting applications, servers, and databases, analyzing data with SQL, and ensuring smooth platform operations.Key Responsibilities:<ul class="list-disc pl-8"><li>Provide technical support for system functionality, integrations, and performance.</li><li>Troubleshoot and resolve application, server, and database issues.</li><li>Monitor system performance and implement preventive measures.</li><li>Manage support tickets using ServiceNow or JIRA.</li><li>Lead incident and outage investigations, ensuring timely resolution and root cause analysis.</li><li>Collaborate with development, infrastructure, and product teams to improve systems.</li><li>Assist with upgrades, patches, and updates.</li><li>Maintain documentation and knowledge base articles.</li><li>Provide guidance and training to users on system usage and incident reporting.</li></ul>Qualifications:<ul class="list-disc pl-8"><li>Bachelor’s in IT, Computer Science, or related field (or equivalent experience).</li><li>3+ years technical support experience working in financial or wealth management systems.</li><li>Experience with SQL, APIs, and support ticketing systems.</li><li>Strong troubleshooting, analytical, and problem-solving skills.</li><li>Excellent communication skills to explain technical issues to non-technical users.</li></ul>Preferred:<ul class="list-disc pl-8"><li>Experience with wealth management or financial systems.</li><li>Knowledge of financial industry standards and compliance.</li></ul>Apply: sasha@talenttohire.com

Senior Technical Support Analyst - Wealth Management 

<h2>Senior Data Engineer</h2>We are hiring a Senior Data Engineer to join a high-impact Data & Analytics team supporting enterprise data platforms. This is a hands-on role for someone who can own end-to-end data initiatives, from design through deployment, and build scalable data solutions that drive business insights and decision-making. What We’re Looking For is hands-on practical knowledge with modern cloud data platforms (Databricks, Snowflake).We are specifically seeking candidates who demonstrate:<ul class="list-disc pl-8"><li>True senior-level autonomy – ability to independently own and lead complex data initiatives end-to-end with minimal oversight</li><li>Deep, hands-on expertise across the full data lifecycle – including source systems, ingestion, transformation, data modeling, orchestration, and downstream consumption, with full accountability for production-ready solutions</li><li>Strong system-level thinking – able to design scalable, reliable data architectures beyond just tools and frameworks</li><li>Ownership mindset – takes responsibility for delivery, quality, and performance in production environments</li><li>Experience working within Canadian business environments ( financial services / Asset Mgmt. Wealth Mgmt.)</li></ul>You will play a key role in building modern data pipelines, enabling analytics, and supporting data-driven products.<hr><h2>What You’ll Do</h2><ul class="list-disc pl-8"><li>Partner with business stakeholders and data teams to gather and translate requirements into scalable solutions</li><li>Design and implement robust data architectures and workflows</li><li>Build and maintain ETL/ELT pipelines across multiple data sources</li><li>Develop high-performance, scalable data pipelines for analytics and reporting</li><li>Own full lifecycle delivery: design, build, test, deploy</li><li>Troubleshoot production issues and ensure data reliability and system stability</li><li>Implement data governance, lineage, and observability best practices</li><li>Support data migrations to modern cloud platforms (Snowflake / AWS / Databricks)</li><li>Mentor junior team members and contribute to a high-performing team environment</li></ul><hr><h2>Tech Stack / Requirements</h2><ul class="list-disc pl-8"><li>7+ years in Data Engineering</li><li>Strong experience with:<ul class="list-disc pl-8"><li>SQL, Python, APIs, CDC pipelines</li><li>Cloud platforms: AWS / Azure / GCP</li><li>Data platforms: Snowflake, Databricks, PySpark</li><li>ETL tools: AWS Glue, EMR, Lambda</li><li>Scheduling: Airflow, CRON, Step Functions</li><li>Databases: PostgreSQL, MySQL, DynamoDB</li><li>Storage: AWS S3, SFTP</li><li>CI/CD: Git, Jenkins, Terraform, CloudFormation</li></ul></li></ul><hr><h2>What We’re Looking For</h2><ul class="list-disc pl-8"><li>Strong understanding of modern data architecture & pipeline design</li><li>Experience building scalable, production-grade data systems</li><li>Solid experience with data observability and lineage</li><li>Proven ability to own projects end-to-end</li><li>Strong communication and stakeholder collaboration skills</li></ul><hr><h2>Nice to Have</h2><ul class="list-disc pl-8"><li>Experience in financial services / wealth / capital markets</li><li>Experience with large-scale data migration projects</li></ul><hr><h2>Why Join</h2><ul class="list-disc pl-8"><li>High-impact role with end-to-end ownership</li><li>Work on modern cloud data platforms</li><li>Collaborative, growth-oriented environment</li><li>Opportunity to shape data architecture and strategy</li></ul><hr><h2>Location</h2>📍 Downtown Toronto (Hybrid -4 days onsite)Apply: sasha@talenttohire.com

Senior Data Engineer ( Databricks/Snowflake)

<h2>Director of Software Engineering- Toronto/ Hybrid</h2>Our client is seeking a Director of Software Engineering to lead and scale their Toronto office within a high-growth, AI-driven SaaS environment.This is a rare opportunity to build and grow a high-performing engineering organization from the ground up, while staying close to the technology and influencing both technical direction and team culture.You will work closely with executive leadership and global engineering teams to drive alignment, execution, and delivery of complex, high-impact products.<hr><h2>What You’ll Do</h2><h3>🚀 Build & Scale the Toronto Team</h3><ul class="list-disc pl-8"><li>Hire, onboard, and grow a team of 20–30 engineers across frontend, backend, AI/ML, data, and developer tooling</li><li>Establish a strong, collaborative, and high-performance engineering culture</li></ul><h3>🧠 Stay Technically Engaged</h3><ul class="list-disc pl-8"><li>Maintain technical credibility and contribute to architecture and design discussions</li><li>Guide engineering decisions across modern cloud and AI-based systems</li></ul><h3>👥 Develop & Mentor Talent</h3><ul class="list-disc pl-8"><li>Recruit top talent through universities and the local market</li><li>Mentor engineers and develop future technical leaders</li><li>Drive best practices in testing, modularity, performance, and documentation</li></ul><h3>⚙️ Own Delivery</h3><ul class="list-disc pl-8"><li>Lead end-to-end delivery of product initiatives—from planning to production</li><li>Partner with Product, AI, and Engineering teams to define and execute roadmaps</li></ul><h3>🌍 Collaborate Across Teams</h3><ul class="list-disc pl-8"><li>Act as a bridge between Toronto and global engineering teams</li><li>Establish effective processes and rituals for distributed collaboration</li></ul><hr><h2>What We’re Looking For</h2><ul class="list-disc pl-8"><li>Proven experience leading 15+ engineers in cross-functional teams (Sr. Manager, Director, or equivalent)</li><li>10+ years of experience, progressing from hands-on engineer → leadership</li><li>Strong technical foundation in cloud-native systems, SaaS, and/or AI/ML environments</li><li>Experience scaling teams and delivering complex, production-grade systems</li><li>Strong ownership mindset with a track record of end-to-end delivery</li><li>Excellent leadership, hiring, and mentoring capabilities</li><li>Strong communication skills across distributed teams</li></ul><hr><h2>Nice to Have</h2><ul class="list-disc pl-8"><li>Experience in AI-driven platforms or developer tooling environments</li><li>Background in high-growth or startup environments</li></ul><hr>Technical Skills<ul class="list-disc pl-8"><li>Cloud-Native Architecture</li><li>SaaS Platforms</li><li>AI/ML Systems</li><li>Distributed Systems</li><li>Software Design & Architecture</li><li>DevTools & Developer Productivity</li><li>SDLC & Agile Execution</li></ul>Delivery & Execution<ul class="list-disc pl-8"><li>Roadmap Ownership</li><li>End-to-End Product Delivery</li><li>Cross-Site Communication</li><li>Execution Planning</li><li>Risk Management</li><li>System Reliability & Best Practices</li></ul><h2>Level Flexibility</h2>We are targeting candidates at the Director level. However, strong Senior Managers with demonstrated leadership and scalability experience are encouraged to apply, with a clear path to grow into the role as the team expands.<hr><h2>Why Join</h2><ul class="list-disc pl-8"><li>Opportunity to build and scale a Toronto engineering hub</li><li>High-impact role with visibility across leadership</li><li>Work on cutting-edge AI and SaaS platforms</li><li>Strong growth potential into broader leadership roles</li></ul><hr><h2>Location</h2>📍 Toronto (Hybrid – 4 days onsite)Screening Questions:<hr><ol class="list-decimal pl-8"><li>Have you led and scaled engineering teams of 15+ developers? (Y/N)</li><li>Have you owned end-to-end delivery of software products? (Y/N)</li><li>Do you have experience in cloud-native or SaaS environments? (Y/N)</li><li>Have you worked with AI/ML or data-driven platforms? (Y/N)</li><li>Have you hired and mentored engineers across multiple disciplines? (Y/N)</li></ol>Apply: sasha@talenttohire.comFollow us at : https://www.linkedin.com/company/talenttohire

Director of Software Engineering - (SAAS, AI, Start-up)

<h1>Lead Data Support Analyst</h1>📍 Toronto, ON (Hybrid) 💼 Full-Time<hr>Our client, a leading organization in the financial services space, is seeking a Lead Data Support Analyst to oversee and contribute to the reliability and performance of enterprise data and reporting platforms.This role blends hands-on technical troubleshooting with team leadership, acting as a key bridge between business users, data engineering, and reporting teams. You will ensure data systems remain accurate, stable, and production-ready at all times.<hr><h2>Key Responsibilities</h2><ul class="list-disc pl-8"><li>Lead and mentor a team of data support analysts, ensuring timely resolution of data and platform issues</li><li>Troubleshoot and resolve data load failures, access issues, and reporting anomalies across Snowflake, Sigma, and related tools</li><li>Monitor data pipelines, health checks, and report refresh cycles</li><li>Act as the primary escalation point for complex or high-impact issues</li><li>Partner with business users and reporting teams to investigate discrepancies and ensure data accuracy</li><li>Collaborate with data engineering to identify root causes and implement long-term fixes</li><li>Maintain documentation, runbooks, and dashboards to track incidents and performance metrics</li><li>Drive improvements through automation, monitoring, and process optimization</li></ul><hr><h2>Qualifications</h2><ul class="list-disc pl-8"><li>8+ years in data analytics, data operations, or support, including 2+ years in a Senior/lead role</li><li>Strong hands-on experience with SQL, and modern data platforms</li><li>Experience with BI tools (Sigma, Tableau, Power BI) and their integration with data systems</li><li>Solid understanding of incident management and root cause analysis (Jira, ServiceNow, Confluence)</li><li>Proven ability to balance technical troubleshooting with stakeholder communication</li><li>Snowflake ( nice so have)</li></ul><hr><h2>Leadership & Impact</h2><ul class="list-disc pl-8"><li>Experience mentoring junior team members and leading support processes</li><li>Strong sense of ownership, urgency, and accountability</li><li>Experience supporting stakeholders across Wealth, Finance, Operations, Compliance, and Technology</li></ul><hr><h2>Nice to Have</h2><ul class="list-disc pl-8"><li>Experience in financial services ( Wealth mgmt./ Asset mgmt.) / regulated environments</li><li>Degree in Computer Science or related field</li></ul>If you’re a hands-on data leader who thrives in fast-paced, production-critical environments, we’d love to hear from you. Include a few lines as of what makes you a good fit 'Lead Data Support Analyst – Toronto (4 days Hybrid)<ul class="list-disc pl-8"><li>Lead team + hands-on troubleshooting</li><li>Snowflake, SQL, BI tools (Sigma/Tableau/Power BI)</li><li>Own production data reliability & incident resolution</li><li>Financial services environment is a plus!</li></ul>Apply: sasha@talenttohire.comFor more roles, follow us at ; https://www.linkedin.com/company/talenttohire

Lead Data Support Analyst ( SQL/PowerBI)

Senior Business Systems Analyst – Wealth TechnologyWe’re hiring a Senior Business Systems Analyst to join our Product team within Wealth Technology. You’ll bridge business and IT, driving solutions that support strategic growth across wealth management platforms. Full development cycle (requirements gathering, testing and implementation). Hybrid 4 days downtown.What You’ll Do<ul class="list-disc pl-8"><li>Gather, analyze, and document business requirements and user stories (JIRA)</li><li>Partner with stakeholders to define solutions and improve processes</li><li>Act as a key liaison between business and technical teams</li><li>Lead and support UAT, test planning, and quality assurance</li><li>Facilitate meetings, manage expectations, and ensure project alignment</li><li>Mentor junior BSAs and contribute to best practices</li></ul>What You Bring<ul class="list-disc pl-8"><li>8+ years in BSA roles within wealth management / financial services</li><li>Strong experience with Agile, JIRA, and end-to-end delivery</li><li>Deep understanding of financial products and business processes</li><li>Proven experience in UAT, QA, and stakeholder management</li><li>Excellent communication, analytical, and problem-solving skills</li></ul>Tech Screening Questions<ol class="list-decimal pl-8"><li>Describe your experience writing user stories in JIRA—how do you ensure clarity and testability?</li><li>Walk us through your approach to gathering and validating complex business requirements.</li><li>How have you handled UAT planning and defect resolution in past projects?</li><li>Can you give an example of a process improvement you led in a wealth or financial system?</li><li>How do you manage conflicting priorities between business stakeholders and technical teams?</li></ol>Apply: sasha@talenttohire.comFollow us for more jobs at; https://www.linkedin.com/company/talenttohire/

Senior Business Systems Analyst -Wealth Technology | Hybrid Toronto

<h2>🚀 Senior Data Engineer- Machine Learning & Data Platforms | Remote</h2>Our client is building the next generation of industrial intelligence, transforming complex automotive and industrial data into real-time, actionable insights powered by machine learning. This is a FT remote position. You can work from Toronto, Ottawa or Montreal.We are seeking an experienced Data Engineer who thrives in high-scale, production ML environments and enjoys working with complex, messy datasets to build reliable, scalable data foundations for advanced analytics.You will join a team of 13 engineers and data professionals, working in a highly collaborative, fast-moving environment. The role is remote-friendly, with strong cross-functional interaction across engineering, data science, and business teams.<hr><h2>🔧 What You’ll Do</h2><ul class="list-disc pl-8"><li>Design, build, and maintain scalable data pipelines and ETL processes for large structured and unstructured datasets</li><li>Develop and optimize Spark-based data workflows supporting production ML systems</li><li>Collaborate closely with data scientists, ML engineers, and business stakeholders</li><li>Translate complex business needs into scalable, production-grade data solutions</li><li>Build feature engineering pipelines for time-series and predictive models</li><li>Ensure data quality, governance, security, and reliability across systems</li><li>Continuously improve data architecture, performance, and scalability</li></ul><hr><h2>🧠 What You Bring</h2><ul class="list-disc pl-8"><li>Min. 6+ years in data engineering or ML data pipeline development</li><li>Strong experience with Apache Spark, PySpark, Databricks, Delta Lake</li><li>Advanced skills in Python, SQL, and Airflow</li><li>Deep understanding of Medallion architecture and ETL design patterns</li><li>Experience building time-series features (rolling windows, lags, trend indicators)</li><li>Ability to work closely with ML teams and translate data into model-ready structures</li><li>Bachelor’s or Master’s in Computer Science, Engineering, or related field</li></ul><hr><h2>⭐ Preferred Experience - we will highly consider candidates with below skills;</h2><ul class="list-disc pl-8"><li>Background in retail, e-commerce, or supply chain environments dealing with large, messy, high-volume datasets</li><li>Experience working directly with machine learning teams or supporting ML model development</li><li>Hands-on experience in forecasting, demand planning, or similar data-heavy business domains</li><li>Experience integrating data from ERP/CRM/WMS systems (SAP, Oracle, legacy platforms)</li><li>Exposure to feature stores or ML training/serving consistency frameworks</li><li>Experience with IBM DataStage or legacy ETL modernization projects</li><li>Experience scaling distributed ML or time-series models in production environments</li></ul><hr><h2>🌍 Why This Role</h2>This is a strong fit for someone who enjoys working in complex, real-world data environments, especially with messy, high-volume retail-style data and close collaboration with ML teams. Retail or similar domains are highly valued.APPLY: sasha@talenttohire.com

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