Thomson Reuters
Staff Software Engineer I
$118K–$220K
United States of America, Eagan, Minnesota +2 · Hybrid · Staff · Full-time · Posted Oct 12, 2026
- Location
- United States of America, Eagan, Minnesota
United States of America, Frisco, Texas
Canada, Toronto, Ontario - Experience
- 8+ years of software engineering experience with demonstrated technical leadership.
- Education
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
About the job
Provides technical leadership for cloud cost management and reporting tools, guiding architecture and cross-team delivery to turn cloud and AI cost data into actionable insights.
What you'll do
- Lead design and implementation of complex features, modernization work, and cross-functional initiatives.
- Establish engineering practices and ensure scalability, reliability, security, testing, observability, and CI/CD.
- Mentor engineers and communicate technical direction to stakeholders across teams.
What they ask for
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- 8+ years of software engineering experience with demonstrated technical leadership.
- Expertise in cloud-native application development and distributed systems; strong experience with AWS and familiarity with Azure, GCP, or OCI.
- Experience designing APIs, data pipelines, and scalable reporting or analytics solutions; strong understanding of software architecture, security, CI/CD, observability, and data modeling.
Nice to have
- Experience with FinOps, cloud cost management, forecasting, budgeting, or chargeback/showback solutions.
- Experience with AI/LLM platforms, cost reporting, and AI governance; Power BI, Snowflake, data warehousing, or enterprise reporting platforms.
Pay
$118,400 USD - $219,800 USD (base salary); $140,600 CAD - $190,600 CAD (base salary)
Tools
AWS, Azure, GCP, OCI, Power BI, Snowflake
AI focus
Identify opportunities to use AI, automation, and analytics to improve platform capabilities and customer experience; experience with AI/LLM platforms, cost reporting, and AI governance is preferred.
Model-written summary · the original posting is authoritative