Design, implement, and maintain robust CI/CD pipelines using Jenkins, Docker-in-Docker (DinD), and Kubernetes
Develop internal tools and frameworks to boost developer efficiency using Jenkins Shared Libraries (Groovy), SonarQube, and artifact repositories (Jfrog, Artifact Registry)
Optimize build performance, reduce build failure rates, and improve reliability through automation and observability
Monitor and improve key developer productivity KPIs such as build time, build failure rate, & DORA metrics (deployment frequency, lead time, mean time to recovery, change failure rate)
Act as a bridge between platform and engineering teams to reduce friction in build, test, and deploy workflows
Integrate quality gates and vulnerability scanning into pipelines using SonarQube and Jfrog Xray (or equivalent)
Manage and upgrade developer productivity tools in Kubernetes, ensuring scalability, security, and high availability

7+ years in Developer Productivity, DevOps, or Tooling Engineering roles
Deep understanding of Jenkins pipelines (Groovy), GitHub Actions or equivalent systems
Proficient in Groovy for Jenkins pipelines; familiarity with Node.js is a plus
Strong experience with Docker, Docker-in-Docker (DinD), and Kubernetes
Experience tracking and reporting developer productivity metrics like build time, failure rates, and DORA metrics
Hands-on experience with SonarQube, Jfrog Artifactory/Artifact Registry, and integrating them into CI/CD workflows
Comfortable with scripting for automation (Bash, Python preferred)
Strong communication skills; ability to work closely with developers, QA, and platform teams to streamline workflows

Lead DevOps Engineer – Developer Productivity

Key skills