Lead Platform Engineer
$118.4k - $219.8kJobleads-US
- # Lead Platform EngineerApplyremote type: Hybridlocations: United States of America, Eagan, Minnesota: United States of America, Frisco, Texas: Canada, Toronto, Ontariotime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: December 30, 2026 (30+ days left to apply)job requisition id: JREQ202795At Thomson Reuters, we're building the platform that powers CoCounsel's AI agent ecosystem. Our Platform Engineering team owns the backend services, cloud infrastructure, deployment systems, and developer tooling that enable AI-powered experiences to operate reliably, securely, and at scale.As a **Lead Platform Engineer**, you'll provide technical leadership for critical platform capabilities, helping shape the architecture, reliability, and evolution of systems that support AI agent workflows across the business. You'll partner closely with Product, Applied AI, and Engineering teams to accelerate the delivery of AI-driven innovation while maintaining high standards for scalability, performance, and operational excellence.About the Role* Lead the design, architecture, and delivery of backend and platform services that power AI agent workflows, ensuring scalable, reliable, and maintainable solutions across a microservices and event-driven ecosystem.* Own and evolve cloud infrastructure, CI/CD systems, and progressive delivery capabilities using Infrastructure-as-Code practices, enabling safe, continuous deployment and efficient developer workflows.* Drive cross-functional technical initiatives with Product, Applied AI, and Infrastructure teams, aligning priorities and leading complex projects from design through production.* Improve platform reliability, observability, performance, and cost efficiency through monitoring, incident response, root-cause analysis, and operational excellence across Kubernetes and managed AI runtimes.* Improve system performance, resilience, and cost efficiency by strengthening monitoring, incident response, and root-cause analysis for production systems running on managed cloud AI runtimes (e.g. AWS Bedrock AgentCore) and Kubernetes.* Mentor engineers, influence technical direction, and help raise the bar for code quality, testing, reliability, and engineering best practices across the organization.* Participate in an on-call rotation supporting customer-facing systems and internal platform tooling, contributing to a culture of ownership and continuous improvement.About You* Approximately 7+ years of professional software engineering experience designing, building, and operating large-scale backend systems in production environments in a lead capacity for 1-2 years.* Strong proficiency in Python (FastAPI or similar) or another backend language, with experience building distributed systems, microservices, and cloud-native applications.* Hands-on expertise with relational databases (e.g. PostgreSQL) and caching/messaging technologies (e.g. Redis), API design, AWS services including cloud AI runtimes (e.g. AWS Bedrock AgentCore), and container orchestration with Kubernetes (EKS).* Experience building and operating CI/CD pipelines, Infrastructure-as-Code solutions, and progressive delivery or release-engineering practices.* Strong experience with observability, monitoring, and troubleshooting production systems using technologies such as OpenTelemetry, Datadog, Prometheus, or similar tools.* Experience supporting or integrating with AI/LLM-powered systems, including agent runtimes, LLM gateways, RAG architectures, retrieval systems, or related AI infrastructure.* Proven strength in system design, debugging, performance optimization, and making thoughtful trade-offs between short-term delivery and long-term scalability.* Demonstrated ability to influence technical decisions, collaborate across engineering and product teams, and communicate effectively with both technical and non-technical stakeholders.**#LI-SB1**This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. **What’s in it For You?*** **Hybrid Work Model:** We’ve adopted a flexible hybrid working environment 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 $118,400 USD - $219,800 USD.For Ontario, Canada, the base compensation range for this role is $140,600 CAD - $190,600 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.
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Vacancy posted 15 hours ago
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