Staff Platform Engineer - Materia AI

Staff Platform Engineer- Materia AI Are you excited about building cloud-native platforms that power agentic workloads? Join a dynamic and highly skilled team at Thomson Reuters, where we combine the agility and innovation of a startup with the stability and resources of a global leader. As a Platform Engineer, you will contribute to leading the design, development, and evolution of our next‑generation cloud‑native platforms, champion engineering excellence, and build highly scalable, reliable, and secure infrastructure that empowers our product development teams. About the Role: Innovate with Startup Speed and Enterprise Scale: Be part of a team that maintains the innovation velocity of a startup while leveraging the operational maturity of a global enterprise. You’ll work with top AI and software development experts, building intelligent and scalable systems for accounting professionals. Deliver AI‑Driven Systems: Launch backend services into production that power generative AI agents and orchestration systems, ensuring solutions are secure, performant, reliable, and adaptable to real‑world use cases. Collaborate Across Functions: Work closely with AI/ML engineers, frontend developers, product managers, and SREs to build robust services and developer experiences, helping to build out AI native products for tax, accounting, and audit professionals. Developer Enablement: Build and maintain "golden path" reference implementations for automated build, test, and deploy workflows that development teams can adopt and customize. Design, implement, and manage reference CI/CD pipelines using tools such as GitHub Actions, Playwright, and Snyk. Develop Go command‑line tools and services that streamline and empower developer workflows from local development to production deployment. Establish, measure, and continuously improve DORA metrics, such as deployment frequency and change failure rate, to optimize the velocity and quality of product delivery. Production Engineering: Lead the design and implementation of scalable, resilient, secure, and cost‑effective production infrastructure using Kubernetes, Vercel, AWS, GCP, and AI platforms. Establish and enforce platform security best practices using multi‑cloud strategies and open‑source CNCF solutions, integrating with cloud‑native security tools and Thomson Reuters internal infrastructure. Design and implement comprehensive monitoring, logging, and alerting solutions using tools such as DataDog and LLM observability tools. Collaboration and Leadership: Set up the necessary processes and documentation to support a team of 150+ product managers, researchers, and engineers; align with product, development, and operations teams on business objectives. Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies. Stay abreast of industry trends, emerging technologies, and best practices in cloud computing, platform engineering, and site reliability engineering, advocating for their adoption where appropriate. About You: Have 8+ years of experience in backend development, platform engineering, production engineering, or site reliability engineering. Experienced in developing, deploying, and maintaining backend services and associated client interfaces for other product and engineering staff. Deep experience troubleshooting low‑level DNS, TCP, IP, and TLS protocols and a creative problem‑solver who enjoys exploring new technologies. Have extensive hands‑on experience with cloud‑native services, including container registries, orchestration (Kubernetes/ECS), object storage, managed PostgreSQL, serverless functions, networking, identity and access management, infrastructure‑as‑code, secrets management, and pub/sub messaging systems. Excellent communication skills, capable of articulating complex technical concepts clearly and concisely to both technical and non‑technical stakeholders. Eager to explore and understand emerging agentic software paradigms. Dedicated to building high‑quality, reliable platform systems. Comfortable working in a fast‑paced, evolving environment. Bachelor's degree in computer science, computer engineering, a related field, or equivalent experience. Preferred Skills & Experience Fluent in Go, Python, Rust, or another systems‑level language. Experience with configuration management tools such as Terraform and CUE. Experience with AI‑driven systems, agent‑based architectures, LLM evaluation tools, and AI APIs from providers like OpenAI and Anthropic. Experience owning SOC 2 compliant systems end to end. Knowledge of vector databases, embeddings, or search‑based AI. Strong opinions on infrastructure design, end‑to‑end testing strategies, automation, middleware, and RPC/REST API design patterns. Benefits Hybrid Work Model: Flexible hybrid working environment with 2–3 days a week in the office for office‑based roles, balanced with digital connectivity. Flexibility & Work‑Life Balance: Policies to manage personal and professional responsibilities, including up to 8 weeks of remote work per year. Career Development and Growth: Continuous learning, skill development, and pathways to lead and thrive in an AI‑enabled future. Industry Competitive Benefits: Flexible vacation, two company‑wide mental health days off, Headspace app access, retirement savings, tuition reimbursement, incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Commitment to inclusion, belonging, flexibility, work‑life balance, and core values of customer obsession, competition, challenge, fast learning, and collective strength. Social Impact: Paid volunteer days and opportunities to contribute to pro‑bono consulting projects and ESG initiatives. Real‑World Impact: Participation in initiatives that support justice, truth, and transparency for customers and communities. Equal Employment Opportunity We hire based on merit and we celebrate diversity. The global organization strives for inclusion and equal opportunities regardless of race, color, sex/gender, pregnancy, gender identity or expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. #J-18808-Ljbffr Thomson Reuters