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Staff Software Engineer – AI (DevOps)

Thomson Reuters

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Thomson Reuters

Staff Software Engineer – AI (DevOps)

Hybrid Toronto, Canada +2 locations (Hybrid) Full Time
Posted 59 minutes ago
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Watch this video to learn more about Thomson Reuters

Work Location Eligibility

This position is open to candidates based in the following locations:

Toronto, Canada San Francisco, CA, United States Eagan, MN, United States

Job Details

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

 

 

Staff Software Engineer – AI (DevOps)

Are you ready to partner closely with product, architecture, and engineering teams to define needs and technical strategy, lead research & development within the project life cycle, provide technical analysis and design, and support operations staff in executing, testing, and rolling out solutions?

You will combine Staff‑level software engineering with Lead‑level DevOps/Platform expertise: constantly looking to optimize systems and services for security, automation, reliability, and performance/availability, while ensuring solutions adhere to architecture standards and organizational values. You will also help development teams use AI safely and effectively in their SDLC (e.g., GitHub Actions and other MCPS tooling), and drive best practices in AI/ML Ops.

About the Role 
In this role as a Staff Software Engineer – AI (DevOps), you will:
 

  • Architect and implement AI‑driven solutions using agentic AI patterns, including MCP server architectures, orchestration workflows, and agentic pipelines.
  • Design and operate scalable, secure, and cost‑efficient AI platforms on cloud infrastructure (Azure and/or AWS) with Kubernetes as the primary runtime.
  • Integrate LLMs, vector search, and retrieval‑augmented generation (RAG) patterns using services such as Azure AI Foundry and Azure AI Search.
  • Define and implement AI/ML Ops practices for model and pipeline lifecycle, including versioning, monitoring, evaluation, and governance.
  • Plan, deploy, and maintain critical business applications and AI services in production and non‑production cloud environments (Azure / AWS).
  • Design and implement appropriate environments for those applications and services; engineer robust release management procedures and provide production support.
  • Build and maintain CI/CD pipelines using MCPS tooling (e.g., Azure DevOps, Jenkins, GitHub Actions), including automation for building, testing, scanning, and deploying AI and non‑AI workloads.
  • Design and maintain infrastructure‑as‑code (e.g., Terraform, Bicep, Ansible) for cloud, Kubernetes, networking, and platform services.
  • Develop and maintain agentic workflows that orchestrate tools, services, and data sources to support complex business processes.
  • Use AI tools within the development lifecycle (e.g., AI‑assisted code generation, GitHub Actions AI features, AI‑driven test generation and triage) to increase velocity while maintaining quality and compliance.
  • Collaborate with product and engineering teams to identify opportunities for AI automation in build, test, deployment, and operations workflows.
  • Drive improvements to processes and design enhancements to automation to continuously improve production environments (reliability, observability, performance, cost).
  • Perform daily system monitoring, verifying integrity and availability of services, reviewing system and application logs, and verifying completion of scheduled and automated tasks.
  • Perform ongoing performance tuning, infrastructure upgrades, and resource optimization as required.
  • Provide Tier II/Tier III support for incidents and requests from various constituencies; lead technical recovery for high‑severity incidents impacting AI platforms and services.
  • Establish and maintain monitoring, alerting, SLOs, and dashboards for AI services; contribute to disaster recovery planning and testing to ensure business continuity.
  • Partner with security and compliance teams to ensure AI platforms and pipelines meet TR security, privacy, and governance standards, including access controls, data protection, and auditability.
  • Provide leadership, technical support, user support, technical orientation, and technical education activities to project teams and staff across multiple locations.
  • Influence broader technology groups in adopting cloud, Kubernetes, and AI technologies, processes, and best practices.
  • Mentor and coach engineers (Dev, QA, DevOps, Data/ML) in modern DevOps, AI/ML Ops, and platform practices.
  • Maintain and contribute to our knowledge base and documentation, including runbooks, design docs, and standards.
  • Participate in and often lead technical design reviews, architecture decisions, and cross‑team initiatives.

About You

You are a fit for the Staff Software Engineer – AI (DevOps) role if your background includes:

  • 8+ years of overall software engineering / DevOps / platform engineering experience, including
  • 3+ years in a Lead‑level DevOps / Platform / SRE capacity, and
  • 2+ years supporting AI‑driven solutions at enterprise scale.
  • Strong experience designing and operating solutions on cloud platforms (Azure and/or AWS), including:
  • Core services such as compute, storage, networking, identity, and managed databases (e.g., RDS or Azure SQL), and
  • Experience with services such as S3/CloudFront/CloudFormation or Azure equivalents where applicable.
  • Hands‑on expertise with Kubernetes and containerization (Docker), including building and deploying containerized workloads at scale; experience with managed Kubernetes (e.g., AWS EKS and/or Azure AKS).
  • Deep knowledge and hands‑on experience with CI/CD and MCPS tools, including at least two of: Azure DevOps (ADO), Jenkins, GitHub Actions, with a track record of planning, building, and deploying cloud‑based solutions.
  • Experience implementing and supporting MCP server architectures, orchestration workflows, and agentic pipelines in production environments.
  • Demonstrated experience with AI/ML Ops concepts and tooling (e.g., model/pipeline versioning, evaluation, monitoring, rollout/rollback strategies).
  • Strong scripting and programming skills, preferably in Python, Bash, and/or PowerShell; ability to build automation, tools, and integrations.
  • Practical experience with Infrastructure as Code (e.g., Terraform, Bicep, Ansible) for provisioning and managing cloud and Kubernetes resources.
  • Experience with Azure AI Foundry and Azure AI Search, or similar AI platform and vector search technologies.
  • Solid understanding of Git, branching strategies, and GitOps principles and tools.
  • Proven experience owning and operating continuous delivery / continuous deployment pipelines and production services, including monitoring, alerting, and incident response.
  • Strong communication and collaboration skills, with experience influencing across teams and mentoring other engineers.

Nice to Have:

  • Experience building and deploying .NET Core and/or Java‑based solutions in cloud and Kubernetes environments.
  • Strong understanding of API‑first design and implementation, including secure, scalable APIs that integrate AI capabilities.
  • Experience implementing comprehensive testing strategies (unit, integration, performance, chaos, and/or evaluation loops for AI systems) in a continuous deployment environment.
  • Prior experience setting up monitoring tools (e.g., Prometheus, Grafana, CloudWatch, Azure Monitor, OpenTelemetry) and disaster recovery plans to ensure business continuity.
  • Exposure to data and ML tooling (e.g., feature stores, experiment tracking, model registries) and how they integrate with CI/CD and production platforms.
  • Experience working in regulated or compliance‑sensitive environments (e.g., legal, tax, financial services) with attention to data protection and governance.

#LI-SM2

What’s in it For You?

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.

 

 

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $147,000 USD - $273,000 USD. For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.

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More information about Thomson Reuters can be found on thomsonreuters.com

Company Details
Thomson Reuters
 Toronto, Canada
Work at Thomson Reuters

Who we are Thomson Reuters informs the way forward by delivering trusted content and technology that people and organizations need to make the... Read more

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