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Senior Software Engineer, Legal
Thomson Reuters. Design, develop, test, and deploy end-to-end software solutions for complex legal workflows and AI-enabled products .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing cloud-native software solutions for legal workflows, with a strong focus on Python programming, AI evaluation methodologies, and secure engineering practices. Proven ability to collaborate with legal teams and mentor junior engineers while managing complex technical projects.
Highest-signal resume keywords
Python Software DevelopmentCloud-Native Application DesignAI Evaluation MethodologiesPrompt Engineering for Legal Use CasesLegal Terminology Fluency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringDistributed Systems DesignMicroservices ArchitectureAPI DevelopmentContainerizationOrchestration TechnologiesProduction-Grade Software DevelopmentDevOps PracticesInfrastructure as CodeTechnical Debt Management
Soft Skills
Excellent Communication SkillsMentoring and CoachingIndependent WorkNavigating AmbiguityCollaboration
Tools & Technologies
Legal Technology PlatformsLegal SaaS ProductsAI-Enabled Legal WorkflowsThomson Reuters Legal Products
Certifications & Qualifications
JD or Formal Legal Training
Industry Keywords
Legal WorkflowsAI and LLM SolutionsLegal AccuracyReliability and UsabilityEthical AIPrivacy and Confidentiality
Tech Stack
Tools & technologiesCloudDistributed SystemsMicroservicesPython
About the role
Key responsibilities & impact- Design, develop, test, and deploy end-to-end software solutions for complex legal workflows and AI-enabled products
- Partner directly with legal customers to understand needs, workflows, and challenges
- Translate customer requirements into scalable technical solutions
- Architect and build cloud-native systems using distributed services, microservices, APIs, containerization, and orchestration technologies
- Develop production-grade Python software with strong security, testing, reliability, and maintainability practices
- Evaluate AI and LLM solutions for legal use cases
- Assess AI outputs for legal accuracy, relevance, reliability, usability, and safety
- Design, iterate, and optimize prompting strategies for specialized legal-domain tasks
- Apply DevOps and Infrastructure as Code practices for secure, reliable, automated deployments
- Manage technical debt while balancing delivery needs with long-term scalability and system health
- Mentor junior engineers through code reviews, technical guidance, coaching, and knowledge sharing
- Collaborate with engineering, product, legal, and design partners to prioritize work and manage delivery commitments
- Continuously improve the software development lifecycle
Requirements
What you’ll need- A JD, formal legal training, or equivalent depth of experience in a legal-practice environment
- Fluency in legal terminology and experience working directly with or alongside legal teams
- 5+ years of professional software engineering experience
- Strong proficiency in Python and experience building production-grade software
- Experience designing and delivering distributed systems, microservices, APIs, and cloud-native applications
- Strong knowledge of AI and LLM evaluation methodologies
- Advanced prompt-engineering skills for legal-domain use cases
- Experience evaluating AI-generated outputs for legal accuracy, relevance, reliability, and safety
- Excellent written and verbal communication skills, with the ability to engage credibly with lawyers and engineers
- Comfort working independently, navigating ambiguity, and presenting in client workshops or knowledge-sharing sessions
- Commitment to secure engineering, ethical AI, privacy, and confidentiality
- Preferred: Python scripting experience
- Preferred: Experience with legal technology platforms, legal SaaS products, or AI-enabled legal workflows
- Preferred: Experience building or evaluating AI tools for specific legal practice areas
- Preferred: Experience with Thomson Reuters legal products or comparable legal AI platforms
Benefits
Comp & perks- Flexible work arrangements, including work from anywhere for up to 8 weeks per year
- Flexible vacation
- Two company-wide Mental Health Days off
- Headspace app access
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Two paid volunteer days off annually
- Health, dental, vision, disability, and life insurance programs
- 401k plan with company match
- Sick and safe paid time off
- Paid holidays, including two company mental health days off
- Parental leave
- Sabbatical leave
- Flexible Spending and Health Savings Accounts
- Fitness reimbursement
- Employee Assistance Program
- Group Legal Identity Theft Protection benefit
- 529 Plan access
- Commuter benefits
- Adoption & Surrogacy Assistance
- Employee Stock Purchase Plan
- May be eligible for an Annual Bonus based on enterprise and individual performance