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.

• 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 Git Hub 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 Data Dog 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.

• 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,…