Staff Engineer - Developer Productivity

About the Role: We are looking for a Staff Engineer to lead the technical direction of our Developer Productivity platform. You will own the architecture of our CI/CD systems, Kubernetes-based developer environments, and self-service platform — while driving the strategy for modernizing legacy Jenkins infrastructure without disrupting hundreds of engineers. You are someone who has built developer platforms at scale, understands the full software delivery lifecycle deeply, and knows how to measure and improve developer productivity with rigor and empathy. What You Will Do: Own architecture and roadmap for CI/CD platform, developer environments, and self-service tooling Lead the Jenkins modernization strategy — defining migration patterns, shared libraries, and the path to modern CI without big-bang rewrites Design and build Kubernetes-native developer environments — ephemeral namespaces, DevSpaces, inner-loop / outer-loop parity Build a self-service platform that enables developers to provision environments, run pipelines, and deploy services without platform team intervention Define and track developer productivity metrics — DORA metrics, pipeline efficiency, environment provisioning time, developer NPS Drive platform reliability — SLOs for CI/CD systems, on-call practices, and incident response for developer tooling Mentor senior engineers and set technical direction for the team Must Have: CI/CD & Release Engineering 7 years hands-on with CI/CD systems — deep expertise in GitHub Actions, GitLab CI, or Tekton at the shared infrastructure level, and Jenkins at scale (shared libraries, distributed agents, plugin management, and migration patterns) Experience optimizing pipeline performance — distributed caching, test parallelism, incremental builds, and artifact reuse — and strong understanding of release engineering practices including progressive delivery patterns (feature flags, canary, blue-green, automated rollback) Kubernetes & Developer Environments Deep hands-on with Kubernetes in production — operators, admission webhooks, RBAC, multi-tenancy, and resource management Experience with Kubernetes-based developer environments — DevSpaces, Telepresence, vcluster, or ephemeral namespace provisioning — and designing environment parity strategies across dev, staging, and production Developer Self-Service & IDP (Good to have) Hands-on experience building or operating Internal Developer Platform — Backstage, Port, or custom self-service portals — with golden path templates and PR-based workflow automation Platform-as-a-product mindset — treating developers as customers, defining and tracking productivity metrics ( DORA , SPACE), and iterating based on adoption data Cloud & Infrastructure Hands-on with at least one of AWS, GCP, or Azure — and experience with multi-cluster Kubernetes management ( ArgoCD ApplicationSets, Flux) and cost optimization for CI/CD infrastructure Observability & Legacy Modernization Experience building pipeline observability — build trends, flaky test dashboards, deployment frequency, and MTTR — and proven ability to migrate large engineering organizations off Jenkins while keeping existing infrastructure running AI-Augmented Engineering Uses AI coding assistants — Claude, Cursor, Copilot — daily for CI/CD scaffolding, script generation, documentation, and productivity bottleneck analysis Evaluates and recommends AI-powered developer tools for team adoption; actively uses AI to automate repetitive tasks — flaky test triage, dependency upgrades, lint rules — while applying judgment for security-sensitive or high-blast-radius changes Good to Have Familiarity with platform engineering maturity models — measuring and evolving platform capability over time Open-source contributions to CI/CD or developer tooling projects. Mandatory and Required Skills for All ThoughtSpot Roles Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to: ... (truncated, view full listing at source)