Hiring: Staff Software Engineer — Search Platform, Ingestion & Indexing Company: Thomson Reuters Location: Ann Arbor, MI Job Posted Time: 2026-09-11 17:58:14 Employment Type: Full-time (proactive recruitment for current or future openings) Target Skills & Keywords: Search Platform, Ingestion & Indexing, Kafka, Stream Processing, Vespa, OpenSearch, Protobuf, Schema Registry, Document Pipeline, Embeddings, Re-ranking Models, Model Operationalization, CI/CD, Canary Rollouts, Distributed Systems, AI-Assisted Development Experience: - Staff-level software engineering experience architecting and owning large-scale distributed data pipelines - Hands-on experience with Kafka-based streaming architectures and at-least-once delivery guarantees - Experience with search engines and index management (Vespa and/or OpenSearch) - Experience operationalizing ML models (embedding, re-ranking, enrichment) in production - Track record of full-stack ownership: defining, building, testing, deploying, scaling, and operating shipped systems Required Skills: - End-to-end document ingestion pipeline design: parsing, chunking, enrichment (entity extraction, embedding generation, metadata enrichment), and indexing - Fault tolerance, version ordering, and idempotent processing at scale - Pluggable, configurable pipeline components (parsers, chunkers, enrichers, indexers) exposed via self-service APIs - Protobuf-based document schema ownership and schema registry governance with backward-compatible evolution - Dual-flow ingestion: high-throughput batch reindexing plus low-latency incremental updates - Vespa application architecture, document processors, custom Kafka feeders, and application package design - Model lifecycle management: inference serving behind stable APIs, latency SLOs, batching, quantization, hardware/runtime configuration - Model promotion pipelines: CI/CD, versioning, canary rollouts, and rollback mechanisms - AI-assisted development and continuous delivery to production Qualifications: - Proven ability to set architectural boundaries and lead complex migrations with little or no precedent - Strong cross-team collaboration skills, enabling client teams to assemble custom topologies - Commitment to reliable, observable, and performant execution - Experience with zero-downtime operations and agentic retrieval patterns is a plus Compensation: Not specified in the job posting. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!