Thomson Reuters
Staff Platform Engineer - Materia AI
$137K–$293K
United States of America, New York, New York +4 · Hybrid · Staff · Full-time · Posted Oct 16, 2026
- Location
- United States of America, New York, New York
United States of America, Frisco, Texas
Canada, Toronto, Ontario
United States of America, Ann Arbor, Michigan
United States of America, Eagan, Minnesota - Experience
- 8+ years in backend development, platform engineering, production engineering, or site reliability engineering (SRE).
- Education
- Bachelor’s degree in computer science, computer engineering, or a related field, or equivalent experience.
About the job
Leads development of cloud-native platform infrastructure and developer tooling that supports generative AI agents and product teams serving tax and accounting professionals.
What you'll do
- Build and operate secure, scalable production infrastructure and backend services for AI-driven systems.
- Create developer enablement tools and reference CI/CD workflows; measure and improve delivery performance.
- Guide technical decisions, collaborate across functions, and support engineering teams through documentation, processes, and mentorship.
What they ask for
- Experience developing, deploying, and maintaining backend services and associated client interfaces for product and engineering teams.
- Deep experience troubleshooting DNS, TCP, IP, and TLS protocols.
- Extensive hands-on experience with cloud-native services, including Kubernetes/ECS and related infrastructure capabilities.
- Excellent communication skills and demonstrated commitment to reliable, high-quality platform systems.
Nice to have
- Fluency in Go, Python, Rust, or another systems-level language; experience with Terraform or CUE.
- Experience with AI-driven systems, agent-based architectures, LLM evaluation tools, provider AI APIs, or SOC 2-compliant systems.
Pay
$158,000 USD - $293,000 USD (base salary); $137,100 USD - $254,700 USD (base salary)
Tools
Go, GitHub Actions, Playwright, Snyk, Kubernetes, Vercel, AWS, GCP
AI focus
Launch and operate backend services powering generative AI agents and orchestration systems; support AI-native tax, accounting, and audit products and explore emerging agentic paradigms.
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