Sr. DevOps Engineer (Developer Productivity)

Accountabilities: Design, implement, and maintain robust CI/CD pipelines using Jenkins, Harness, Docker-in-Docker (DinD), and Kubernetes. Develop and maintain internal developer tools and frameworks to improve engineering efficiency, including Jenkins Shared Libraries using Groovy. Manage and integrate code quality and artifact management tools such as SonarQube, JFrog Artifactory, and Artifact Registry into CI/CD workflows. Optimize build infrastructure to reduce execution times, minimize failures, and improve reliability through automation and observability. Track, analyze, and improve developer productivity KPIs, including build duration, build success rates, and DORA metrics. Monitor deployment frequency, lead time for changes, mean time to recovery, and change failure rates to identify opportunities for continuous improvement. Collaborate with platform, engineering, and QA teams to streamline build, testing, and deployment workflows. Integrate quality gates and vulnerability scanning into delivery pipelines using SonarQube, JFrog Xray, or equivalent solutions. Own the maintenance, configuration, and upgrades of developer productivity tools running on Kubernetes. Ensure the developer tooling ecosystem meets requirements for scalability, security, availability, and performance. Requirements: 3–4 years of professional experience in Developer Productivity, DevOps, Tooling Engineering, or a closely related field. Hands-on experience designing and maintaining CI/CD pipelines with Jenkins, including pipeline development using Groovy. Familiarity with GitHub Actions, Argo CD, or equivalent continuous integration and deployment platforms. Strong knowledge of Docker, Docker-in-Docker (DinD), and Kubernetes environments. Proficiency in Groovy for Jenkins automation; familiarity with Node.js is an advantage. Practical experience with SonarQube, JFrog Artifactory, Artifact Registry, and their integration into CI/CD workflows. Understanding of developer productivity measurement, including build performance, failure rates, and DORA metrics. Scripting skills for automation, preferably using Bash and Python. Knowledge of software quality controls, vulnerability scanning, and secure development workflows. Strong communication and collaboration skills, with the ability to work effectively alongside developers, QA engineers, and platform teams. A proactive, analytical approach to troubleshooting, process improvement, and reducing friction in software delivery. Benefits: Work arrangement: Fully remote position based in India. Employment type: Employee position. Opportunity to work on developer productivity initiatives and large-scale CI/CD infrastructure. Collaboration with distributed engineering and platform teams.