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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Search Platform - **Company:** Thomson Reuters Holdings Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $117,700.0 - $218,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Review, Encodings, Computer Programming, Data Infrastructure, Database Queries, Distributed Data Store, Distributed Systems, Elasticsearch, Python (Programming Language), Log Analysis, Software Engineering, Apache Solr, Data Streaming, Data Logging, Cloud Platform System, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, Indexer, Backend, Agentic-AI, AI Platforms, Information Technology, Production Code, Apache Kafka, Search Engines, Data Pipelines, Dynatrace, OpenSearch, Golang - **Published:** November 6, 2026 - **Apply:** https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/United-States-of-America-New-York-New-York/Senior-Software-Engineer--Search-Platform-_JREQ205153 ## About the Role * 5+ years of software engineering experience building and operating production backend or data infrastructure systems, with end-to-end ownership of features and components. A degree in Computer Science, Engineering, or a related field, or equivalent experience * Strong programming skills in at least one of Python, Java, Go, or an equivalent language, and the judgment to choose the right tool for the job * Solid distributed systems fundamentals: you understand how queues, streaming pipelines, and distributed data stores fail, and you design for it * Hands-on experience with a major cloud platform (AWS preferred) and infrastructure as code * Operational ownership: on-call, incident response, and observability, with the view that building and operating are inseparable * 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, including writing queries, designing indexes, or operating clusters * Experience with Kafka or another event streaming platform * Experience integrating AI services, such as embedding, re-ranking, and RAG components, with sound error handling and fallbacks * Exposure to agentic retrieval patterns, such as multi-hop search or designing tool interfaces for agents * Familiarity with search evaluation and analytics, including relevance experiments and query log analysis ## Description The AI Enabled Software Engineering (AIESE) team within Thomson Reuters is seeking Senior Software Engineers to build the core of that platform: the ingestion pipelines that turn content into searchable knowledge, the APIs that serve it to products and AI agents, and the cloud infrastructure that keeps it fast and reliable. Your work is what lets internal teams create, configure, and run search on their own, without waiting on a central team., Build the platform * Design, build, and test platform services across document ingestion, search indexing, and query APIs, using the language best suited to the problem (for example Python, Java, or Go). * Build reliable pipeline components that move documents through parsing, chunking, enrichment, and indexing, using proven patterns for retries, dead-letter queues, and idempotent processing. * 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. Operate what you build * 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, including trace-level visibility into agentic retrieval paths, and help define SLOs. * Remove delivery friction wherever you find it: slow deployments, flaky tests, and painful local workflows. Use AI-assisted tools fluently and share what works. Lead and collaborate * 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, such as embedding models, chunking strategies, and re-ranking, into production in a well-tested and observable way. * Work with client teams to understand how they use the platform and turn their feedback into platform improvements., * Ramp up on the platform's architecture and operations, take on-call responsibility, and contribute production code within the first month * Deliver one meaningful feature or reliability improvement with end-to-end ownership, from design through deployment and monitoring * Build strong working relationships and show the team's operating principles in practice In the first year * Own a significant platform component end to end, with design authority, health monitoring, and steady improvements to reliability and performance * Build technical depth in at least one domain (ingestion, indexing, query APIs, or infrastructure) and take on more complex, cross-functional work * Strengthen the team's engineering culture through code review, documentation, operational rigor, and mentoring