2-5 years in DevOps, infrastructure, or software engineering roles.
Hands-on experience with CICD systems and automated build pipelines.
Understanding of artifact repository management and software packaging.
Experience with AWS or similar cloud platforms for resource provisioning.
Proficiency with distributed version control and code review processes.
Foundational knowledge of Linux/Unix operating systems and scripting for automation.
Experience with containerization technologies such as Kubernetes.
Responsibilities
Develop and maintain CICD pipelines for reliable build and release workflows.
Manage artifact lifecycle systems for reproducible builds at scale.
Collaborate with development teams to enhance code review and integration processes.
Provision and optimize cloud infrastructure for CI workloads.
Troubleshoot build failures and pipeline issues, implementing solutions.
Improve internal build and test infrastructure to boost developer productivity.
Contribute to AI tooling efforts aimed at enhancing engineering efficiency.
Benefits
Opportunity to work with advanced CICD and cloud technologies.
Collaboration with talented development teams on impactful projects.
Access to continuous learning opportunities in AI and DevOps practices.
Work in a culture that encourages innovation and best practices in engineering.
Full Job Description
Responsibilities:
Contribute to the development and maintenance of CICD pipelines, ensuring reliable and efficient build, test, and release workflows across the organization.
Help manage artifact lifecycle systems including versioning, storage, distribution, and dependency management to support reproducible builds at scale.
Partner with development teams to design and improve code review workflows, branching strategies, and automated integration processes.
Provision, monitor, and optimize cloud infrastructure to support CI workloads, balancing cost efficiency with performance and reliability.
Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing lasting fixes.
Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
Contribute to the company's efforts on AI tooling to boost engineering productivity efficiently.
Skills & Qualifications
2-5 years of professional experience in a DevOps, infrastructure, or software engineering role.
Familiarity with CICD systems and hands-on experiences in building or maintaining automated build and deployment pipelines.
Understanding of artifact repository management and software packaging concepts.
Experience with cloud computing platforms (AWS preferred) and programmatic resource provisioning.
Proficiency with distributed version control systems, code review processes, and repository management.
Foundational knowledge of operating system concepts (Linux/Unix), networking fundamentals, and scripting for automation.
Experience with containerization and container orchestration (Kubernetes preferred).
Strong troubleshooting skills and a methodical approach to debugging distributed systems.
Curiosity about how large-scale infrastructure is built, operated, and improved.
Being part of oncall and incident response task force of Dev Productivity org.
Preferred Skills & Qualifications
Familiarity with infrastructure-as-code tools and practices.
Scripting proficiency in Python or Shell for build automation and tooling.
Exposure to build systems and build graph optimization.
Understanding of observability practices including monitoring, logging, and alerting.
BS/MS in Computer Science or a related field, or equivalent practical experience.
