Software Engineer

Thomson Reuters•McLean, VA

20d•Hybrid

About The Position

Thomson Reuters Special Services (TRSS) is looking for a Software Engineer to support our DoD/DoW customers. Software Engineers supporting these efforts work alongside data scientists and data engineers to develop advanced capabilities, prototype new applications, and deliver cutting edge products for high impact government missions. Success in this role requires strong technical depth, the initiative to operate with minimal direction, and the creativity to develop novel solutions. These positions are part of cross-functional teams that include Data Scientists, Data Engineers, Product Managers, Analysts, and other technical contributors. Software Engineers work to develop and deploy software that utilizes advanced ML/AI capabilities for mission and operational problem areas (e.g., Cyber Operations, Supply Chain Integrity, and other customer driven domains). These products are developed in collaboration with a team of Data Scientists and Data Engineers using modern development practices such as version control, automated testing, containerized deployments, code review, and iterative delivery. This is a hybrid role open to candidates in the Washington, DC area. Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings.

Requirements

Ability to obtain a TS/SCI security clearance; current or active clearance strongly preferred.
At least three years experience with the following: Java in the Spring ecosystem (Spring Boot) Python JavaScript/TypeScript and a modern component-based framework (React or similar).
SQL for relational data modeling, schema design, migration management, and data extraction or transformation tasks.
Docker
Git/GitHub

Nice To Haves

Experience supporting DoD, intelligence community, or other government research and development programs.
Data Modeling and Management: designing and maintaining relational data models, writing migrations, and managing structured data across the full data lifecycle including ingestion, transformation, validation, and storage.
Container orchestration platforms, particularly Kubernetes, including writing and maintaining Helm charts for multi-service deployments across multiple environments.
Experience with AI development tools and LLM APIs, including Anthropic Claude, OpenAI, or AWS Bedrock; experience building applications that integrate LLM-based generation, retrieval-augmented generation (RAG), or vector embedding workflows.
Experience with data engineering practices including ETL/ELT pipeline design, vector search indexing (Elasticsearch), object storage (MinIO/S3), and schema migration tooling (Liquibase or similar).
Experience with machine learning concepts and frameworks, particularly embedding models, semantic similarity, and nearest-neighbor retrieval as applied in production software systems.
Experience supporting national security missions or developing tools for sensitive, mission-critical operational environments where data integrity, access control, and operational context carry significant real-world consequence.

Responsibilities

Full-Stack Application Development: designing, building, testing, and maintaining multi-service backend systems and supporting frontend interfaces that deliver mission-driven analytical or operational capabilities.
Rapid Prototyping and Capability Development: building proof-of-concept workflows, REST APIs, microservices, or decision-support tools to demonstrate and mature new software capabilities at pace with operational needs.
Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements.
Ability to interface directly with customers and stakeholders at all levels
Ability to work both independently and as a member of a team. Teams may include other Software Engineers, Data Scientists, Product Managers, Subject Matter Expert Analysts, and/or Data Engineers.
Ability to work using modern software development practices, including shared repositories, version control, automated testing, containerization, documentation, and iterative delivery.

Benefits

Hybrid Work Model
Flexibility & Work-Life Balance
Work from anywhere for up to 8 weeks per year
Career Development and Growth
Industry Competitive Benefits
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Market competitive health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance paid 100% by the employee
Optional life and AD&D insurance paid 100% by the employee
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit paid 100% by employee
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Access to Employee Stock Purchase Plan