Senior Staff Engineer, AI-Driven Search Control Plane

Thomson Reuters; Eagan (MN); Hybrid; USD 118,000 - 220,000; Full time

Benefits offered by this job

Hybrid work model

Annual bonus

Job summary

Thomson Reuters is seeking a Staff Software Engineer for the AI Enabled Software Engineering team to design and deliver a scalable control plane that automates provisioning of Kubernetes, Kafka, and ingestion pipelines for multi-tenant search systems. The role emphasizes security, observability, and end-to-end lifecycle management, including schema changes, reingest, and index rollback.

The candidate will lead cross-team initiatives, mentor engineers, and partner with client teams to improve the

Qualifications

• 8+ years of software engineering with progression to staff level and cross-functional leadership
• Experience designing, building, and operating production platform or infrastructure services at scale
• Hands-on cloud infrastructure experience (AWS preferred), incl. Kubernetes and IaC
• Production experience operating a search engine (Vespa/OpenSearch/Elasticsearch) with capacity planning
• Operational rigor: SLOs, observability, on-call leadership, post-incident learning
• Fluency with AI-assisted development tools

Responsibilities

• Design and own the control plane for search systems lifecycle and deployment
• Provision Kubernetes, Kafka, ingestion pipelines, and data plane components
• Provide lifecycle workflows for schema changes, reingest, index switch, and rollback
• Ensure tenant data isolation and RBAC across regions
• Define data model and persistence for system definitions and audit history
• Set interface standards and documentation for the platform
• Own observability, SLOs, and cost/performance planning
• Operate platform security and on-call processes

Skills

8+ years software eng

Distributed systems

Go

Java

Python

AWS

Kubernetes

CI/CD

Education

Bachelors in CS/Engineering

Tools

AWS

Kubernetes

Terraform

Job description

Thomson Reuters is seeking a Staff Software Engineer for the AI Enabled Software Engineering team to design and deliver a scalable control plane that automates provisioning of Kubernetes, Kafka, and ingestion pipelines for multi-tenant search systems. The role emphasizes security, observability, and end-to-end lifecycle management, including schema changes, reingest, and index rollback.

The candidate will lead cross-team initiatives, mentor engineers, and partner with client teams to improve the