Thomson Reuters
Staff Software Engineer
$159K–$340K
United States of America, New York, New York +4 · Hybrid · Staff · Full-time · Posted Oct 2, 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
- 7–10 years of professional full-stack development experience, with a strong focus on backend systems.
- Education
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
About the job
Build and maintain backend services, APIs, and data pipelines for a legal document analysis platform, with some frontend contributions.
What you'll do
- Design scalable backend services, APIs, and data-processing pipelines; define API contracts and contribute to architecture decisions.
- Integrate third-party services and internal ML systems, and optimize performance for data-intensive operations.
- Contribute to frontend features and improve engineering practices, CI/CD, and production operations.
What they ask for
- 7–10 years of professional full-stack development experience, with a strong backend focus.
- Proficiency in Node.js, Python, or Go and API design; experience with SQL and NoSQL databases.
- Proficiency in TypeScript and React; understanding of REST APIs, database design, and data modeling.
- Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
Nice to have
- Experience with microservices, message queues, CI/CD, single-tenant architectures, and large-scale data systems.
- Familiarity with Docker, Kubernetes, AWS or GCP, and performance optimization for data-intensive applications.
Pay
$183,100 USD - $340,000 USD base salary; $158,900 USD - $295,100 USD base salary
Tools
Node.js, Python, Go, SQL, Docker, Kubernetes, AWS, GCP
AI focus
Build services for a document analysis platform and integrate internal ML systems. The posting also states that AI may be used to assess applicants during recruitment, subject to opt-out, with human review.
Model-written summary · the original posting is authoritative