Senior Software Engineer, Search Platform

The AI Enabled Software Engineering (AIESE) team within Thomson Reuters is seeking Senior Software Engineers to build the core of the next-generation search platform. The platform consolidates search systems across Thomson Reuters products and services, serving millions of end users, internal agents, and internal search teams.

Key Responsibilities:

• Design, build, and test platform services across document ingestion, search indexing, and query APIs
• Build reliable pipeline components that move documents through parsing, chunking, enrichment, and indexing
• Build self-service platform APIs that let client teams configure search systems, manage index lifecycles, and monitor ingestion health
• Design retrieval interfaces for products and AI agents with predictable contracts, explicit latency budgets, and result payloads sized for LLM context windows
• Contribute to the move from OpenSearch to Vespa, including schema migrations and zero-downtime index promotion
• Instrument retrieval components so offline evaluation and LLM-as-judge grading can compare pipeline versions and measure search quality
• Take part in the on-call rotation and own incidents in your scope, from triage and root cause to post-mortem and systemic fixes
• Add logging, metrics, and distributed tracing to your components
• Remove delivery friction wherever you find it: slow deployments, flaky tests, and painful local workflows
• Take technical direction for assigned projects, break customer and product requirements into executable work, and mentor more junior engineers through review and pairing
• Work with TR Labs and research scientists to bring new search capabilities into production
• Work with client teams to understand how they use the platform and turn their feedback into platform improvements

Required Qualifications:

• 5+ years of software engineering experience building and operating production backend or data infrastructure systems
• Strong programming skills in at least one of Python, Java, Go, or an equivalent language
• Solid distributed systems fundamentals
• Hands-on experience with a major cloud platform (AWS preferred) and infrastructure as code
• Operational ownership: on-call, incident response, and observability
• Fluency with AI-assisted development tools and clear communication with technical and non-technical stakeholders

Preferred qualifications:

• Production experience with a search engine such as OpenSearch, Elasticsearch, Vespa, or Solr
• Experience with Kafka or another event streaming platform
• Experience integrating AI services, such as embedding, re-ranking, and RAG components
• Exposure to agentic retrieval patterns
• Familiarity with search evaluation and analytics

What Success Looks Like:

• In the first 90 days: Ramp up on the platform's architecture and operations, take on-call responsibility, and contribute production code
• In the first year: Own a significant platform component end to end, build technical depth in at least one domain, and strengthen the team's engineering culture

What's in it For You:

• Hybrid Work Model: flexible hybrid working environment
• Flexibility & Work-Life Balance: supportive workplace policies
• Career Development and Growth: continuous learning and skill development
• Industry Competitive Benefits: comprehensive benefit plans
• Culture: globally recognized, award-winning reputation for inclusion and belonging
• Social Impact: make an impact in your community
• Making a Real-World Impact: help uphold the rule of law, turn the wheels of commerce, and provide trusted information