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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Platform Engineer - Materia AI - **Company:** Reuters America LLC - **Location:** Ann Arbor, MI, United States - **Experience:** Expert - **Salary:** $102,200.0 - $189,800.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Command-Line Interface, Cloud Computing, Cloud Computing Security, Cloud Engineering, Domain Name System (DNS), Middleware, Github, Identity and Access Management, Python (Programming Language), Key Management, PostgreSQL, Open Source Technology, Reliability Engineering, Next.js, Software Deployment, Software Engineering, Systems Integration, Transmission Control Protocol (TCP), Data Logging, Google Cloud, Cloud Platform System, Istio, Large Language Models, Multi-Cloud, Backend, AI Platforms, Kubernetes, Information Technology, Playwright, Front End Software Development, Serverless Computing - **Published:** September 22, 2026 - **Apply:** https://diversityjobs.com/candidate/trackback_apply?vacancyId=[vacid] ## About the Role You're a fit for the role of Staff Platform Engineer- Materia AI if your background includes: * Experience:8+ years of experience in backend development, platform engineering, production engineering, or site reliability engineering (SRE). * Software Development:Experiencedeveloping, deploying, andmaintaininga backend serviceand associated client interfacefor the benefit of otherproduct and engineering staff developing products for customers. * Problem Solving:Deep experience troubleshooting low level DNS, TCP, IP, and TLS protocols.Creative problemsolverwho enjoys exploringnew technologies. * Cloud-Native Expertise:Extensive hands-on experience with cloud-native services, including deepproficiencywith container registries, orchestration (Kubernetes/ECS), object storage (buckets), managed PostgreSQL, serverless functions, networking (VPCs/service mesh), identity and access management, infrastructure-as-code, secrets management, and pub/sub messaging systems. * Communication:Excellent communication skills, capable of articulating complex technical concepts clearly and concisely to both technical and non-technical stakeholders. * Curiosity:Eager toexplore andunderstandemergingagenticsoftwareparadigms. * Quality:Dedicated to building high-quality, reliableplatformsystems. * Adaptability:Comfortable working in a fast-paced, evolving environment. * Education:Bachelor's degree in computer science,computerengineering,relatedfield, orequivalentexperience Preferred qualifications: * Fluent in Go, Python, Rust, oranothersystems level language. * Experience withconfigurationmanagementtools such asTerraform and CUE. * Experience with AI-driven systems, agent-based architectures, LLMevaluationtools, 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 endtesting strategies, automation, middleware, andRPC/RESTAPIdesignspatterns. ## Description 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. You will contribute to technical strategy, champion engineering excellence, and build highly scalable, reliable, and secure infrastructure that empowers our product development teams. You will be a hands-on technical leader, influencing architectural decisions, mentoring team members, and championing best practices in a dynamic and fast-paced environment., In this opportunity as a Staff Platform Engineer- Materia AI you will: * Innovate with Startup Speed and Enterprise Scale: Be part of a team thatmaintainsthe innovation velocity of a startup whileleveragingthe operational maturity of a global enterprise.You'llwork with top AI and software development experts, building intelligent and scalable systems for accounting professionals. This role is for theCoCounselfor Tax and Accounting team,evolvedfrom the acquisition ofMateria, now integrating best-in-class enterprise practices with rapid innovation cycles. * Deliver AI-Driven Systems: Launch backend services into production that power generative AI agents and orchestration systems. This role requires both creativity and rigor to ensure our AI-driven 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.Help tobuild out AI native products for tax, accounting, and audit professionals. * Developer Enablement: Build andmaintain"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, andSnyk. * 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, for example deployment frequency, change failure rate tooptimizethe 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 asDataDogand LLM observability tools. * Collaboration and Leadership: Set up the necessary processes and documentation to support a team of150+product managers, researchers, and engineers.Align with product, development, and operations teams on businessobjectives. * 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 whereappropriate.