Thomson Reuters
Principal Software Engineer – .NET, AWS & AI
$183K–$340K
United States of America, Washington, District of Columbia · Hybrid · Principal · Full-time · Posted Oct 2, 2026
- Experience
- 10+ years of professional software engineering experience; Principal Engineer or equivalent senior individual-contributor scope.
- Education
- Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience.
About the job
Leads architecture and hands-on development of cloud-native tax compliance platforms, modernizing legacy systems and guiding technical direction across teams while incorporating AI capabilities into production products.
What you'll do
- Own architecture and system design for large-scale production platforms, including scalability, reliability, performance, security, and maintainability.
- Build software with C#/.NET Core and AWS, and lead modernization of legacy applications into cloud-native distributed systems.
- Set technical direction across teams, provide hands-on technical leadership, and identify opportunities to implement AI capabilities.
What they ask for
- Recent hands-on C#/.NET Core experience designing and implementing production software.
- Deep production experience designing and implementing cloud-native systems on AWS.
- Experience architecting and implementing large-scale distributed systems, microservices, APIs, and highly available applications, including modernization of legacy applications.
- Principal Engineer or equivalent senior individual-contributor scope, with architecture ownership and influence across multiple teams.
Nice to have
- Production experience with AI/ML, Generative AI, LLM, RAG, or agentic AI capabilities.
- Experience with containers, Kubernetes, API gateways, infrastructure automation, Python, TypeScript, Node.js, React, or Angular.
Pay
$183,100 USD - $340,000 USD (base salary)
Tools
C#/.NET Core, AWS, EC2, S3, Elastic Load Balancing, Auto Scaling, RDS, Lambda
AI focus
Identify and help implement AI/ML and Generative AI in production products; preferred experience includes LLM, RAG, or agentic AI.
Model-written summary · the original posting is authoritative