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India
Remote only
We are looking for a Sr. DevOps Engineer (Developer Productivity) - L3 to join our team and help ensure the build time, build success ratio and other DORA metrics of CICD Flow are properly monitored and deployed, for increasing our developer’s productivity.
CI/CD Automation: Design, implement, and maintain robust CI/CD pipelines using Jenkins, Harness, Docker-in-Docker (DinD), and Kubernetes.
Dev Tooling: Develop internal tools and frameworks to boost developer efficiency using Jenkins Shared Libraries (Groovy), SonarQube, and artifact repositories (Jfrog, Artifact Registry).
Build Infrastructure: Optimize build performance, reduce build failure rates, and improve reliability through automation and observability.
Metrics & Insights: Monitor and improve key developer productivity KPIs such as build time, build failure rate, and DORA metrics (deployment frequency, lead time, mean time to recovery, change failure rate).
Developer Experience: Act as a bridge between platform and engineering teams to reduce friction in build, test, and deploy workflows.
Code Quality & Security: Integrate quality gates and vulnerability scanning into pipelines using SonarQube and Jfrog Xray (or equivalent).
Toolchain Ownership: Manage and upgrade developer productivity tools in Kubernetes, ensuring scalability, security, and high availability.
Experience: 3-4 years in Developer Productivity, DevOps, or Tooling Engineering roles.
CI/CD Expertise: Hands-on experience with Jenkins pipelines (Groovy), GitHub Actions, Argo CD or equivalent systems.
Languages: Proficient in Groovy for Jenkins pipelines; familiarity with Node.js is a plus.
Containerization: Strong experience with Docker, Docker-in-Docker (DinD), and Kubernetes.
Observability: Experience tracking and reporting developer productivity metrics like build time, failure rates, and DORA metrics.
Tooling: Hands-on experience with SonarQube, Jfrog Artifactory/Artifact Registry, and integrating them into CI/CD workflows.
Scripting: Comfortable with scripting for automation (Bash, Python are preferred).
Collaboration: Strong communication skills; ability to work closely with developers, QA, and platform teams to streamline workflows.
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