2-5 years in DevOps, infrastructure, or software engineering role.
Experience with CICD systems and automated pipelines.
Understanding of artifact repository and software packaging.
Knowledge of cloud computing platforms, preferably AWS.
Proficient with distributed version control systems and code reviews.
Foundational knowledge of Linux/Unix OS and scripting for automation.
Experience with containerization (Kubernetes preferred).
Strong troubleshooting and debugging skills.
Curiosity about large-scale infrastructure design and improvement.
Responsibilities
Develop and maintain CICD pipelines for build, test, and release workflows.
Manage artifact lifecycle systems for reproducible builds.
Collaborate with development teams on code reviews and integration processes.
Provision and optimize cloud infrastructure for CI workloads.
Troubleshoot build failures and infrastructure bottlenecks.
Enhance internal build and test infrastructure for improved efficiency.
Contribute to AI tooling for better engineering productivity.
Benefits
Opportunity to work on innovative and impactful projects.
Collaborative and agile work environment.
Access to cutting-edge tools and technologies.
Professional development and learning opportunities.
Participation in incident response tasks to enhance skills.
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.
