Senior DevOps Engineer (Developer Productivity)

New

JobgetherDevOps tooling

Fully remote position based in India.Full-TimeSenior

Salary not disclosed

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Job Details

Experience: 3–4 years of professional experience in Developer Productivity, DevOps, Tooling Engineering, or a closely related field.
Required Skills: DockerJenkinsKubernetesGroovyCI/CDGitHub Actions

Have 3–4 years of professional experience in Developer Productivity, DevOps, Tooling Engineering, or a closely related field.
Have hands-on experience designing and maintaining CI/CD pipelines with Jenkins, including pipeline development using Groovy.
Be familiar with GitHub Actions, Argo CD, or equivalent continuous integration and deployment platforms.
Have strong knowledge of Docker, Docker-in-Docker (DinD), and Kubernetes environments.
Have proficiency in Groovy for Jenkins automation; Node.js familiarity is an advantage.
Have practical experience with SonarQube, JFrog Artifactory, and Artifact Registry, including their integration into CI/CD workflows.
Understand developer productivity measurement, including build performance, failure rates, and DORA metrics.
Have scripting skills for automation, preferably using Bash and Python.
Know software quality controls, vulnerability scanning, and secure development workflows.
Be able to collaborate effectively with developers, QA engineers, and platform teams.
Bring an analytical approach to troubleshooting, process improvement, and reducing friction in software delivery.

Design, implement, and maintain CI/CD pipelines using Jenkins, Harness, Docker-in-Docker, and Kubernetes.
Develop and maintain internal developer tools and frameworks, including Jenkins Shared Libraries using Groovy.
Integrate 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 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.
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.
Maintain, configure, and upgrade developer productivity tools running on Kubernetes, ensuring scalability, security, availability, and performance.

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