Senior Software Engineer - AI Platform Engineer

JOB TITLE :: Senior Software Engineer - AI Platform Engineer

JOB TYPE :: Full-time

JOB LOCATION :: India

About the Role

We’re embedding AI across the entire software development lifecycle to reduce the time it takes to understand, triage, and resolve problems - from planning and code, through CI/CD, to production systems.

The AI Foundation team builds the platform infrastructure that makes AI-assisted software delivery possible inside CloudBees (and our CloudBees Unify product). Our systems ingest signals from pipelines, pull requests, source-code, tests, and incidents - and need to process them reliably, at scale, in production.

This is a platform engineering role. Your primary identity here is as someone who writes production-quality Go, operates confidently in Kubernetes-native environments, and takes observability seriously as a design constraint, not an afterthought.

You’ll work in an environment where AI tooling is part of how the team operates - from development through to the systems we ship. That means being an effective conductor: knowing how to direct AI tooling, decompose problems for it, and apply the same critical judgement to its output that you would to any other contributor’s work.

Platform Engineering

• Design, build, and operate Go services running on Kubernetes that form the backbone of our agent infrastructure

• Own reliability for production systems - define SLOs, write runbooks, and be accountable when things go wrong

• Instrument everything: structured logging, distributed tracing (OpenTelemetry), and metrics that surface both system health and the behaviour of the AI workflows running on top

• Contribute to Kubernetes-native patterns: operators, CRDs, workload isolation, and resource management for dynamic agent workloads

• Build and maintain CI/CD pipelines that support rapid, safe iteration - using AI tooling as a natural part of that workflow