Design scalable search infrastructure with Kubernetes and Kafka at Thomson Reuters in a adaptable hybrid work environment. Own the control plane powering search systems.

As a Staff Software Engineer on the AI Enabled Software Engineering team, you will build and operate the foundation of Thomson Reuters’ search platform. Your work spans distributed systems, cloud infrastructure, search indexes, and lifecycle automation. The platform serves millions of end users, internal agents, and search teams across products and services.

Key Responsibilities:

- Design and own search system control plane lifecycle workflows
- Automate Kubernetes, Kafka, ingestion, and data plane provisioning
- Manage schema changes, reingestion, index switching, and rollback
- Build tenant isolation, identity, access controls,



and audit history
- Operate infrastructure, observability, SLOs, incidents, and post-mortems

Requirements:

- Eight or more years of software engineering experience
- Staff-level scope and cross-functional project leadership experience
- Production platform or infrastructure experience at scale
- AWS, Kubernetes, and infrastructure-as-code experience
- Vespa, OpenSearch, or Elasticsearch operations experience

Bring distributed systems, search infrastructure, Kubernetes, and operational leadership to Thomson Reuters’ foundational control plane.

📌 Staff Search Platform Engineer (Toronto)
🏢 Thomson Reuters
📍 Toronto