Software Engineer

Responsibilities

• Contribute to the development and maintenance of CI/CD 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.
• Be part of oncall and incident response task force of Dev Productivity org.

Requirements

• 2-5 years of professional experience in a DevOps, infrastructure, or software engineering role.
• Familiarity with CI/CD systems and hands-on experience 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.

Preferred Skills

• 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.