7+ years in software engineering, infrastructure engineering, DevOps, or related fields.
Hands-on experience with CI/CD systems and automated build/deployment infrastructure.
Familiarity with artifact repositories and reproducible build concepts.
Proficient with AWS or other cloud platforms; experience in infrastructure provisioning.
Strong understanding of version control systems and code review workflows.
Knowledge of Linux/Unix systems and scripting for automation purposes.
Expertise in containerization and Kubernetes orchestration.
Responsibilities
Design and evolve CI/CD pipelines for efficient workflows.
Manage artifact lifecycle systems including storage and dependency management.
Collaborate with development teams to refine review and integration processes.
Provision and optimize cloud infrastructure for CI workloads.
Resolve build failures and pipeline bottlenecks through rigorous troubleshooting.
Enhance internal build and developer tools to boost productivity.
Identify and address bottlenecks in developer workflows for systemic improvement.
Benefits
Innovative work environment with advanced tooling and technologies.
Opportunity to contribute to AI-driven productivity improvements.
Collaboration with multi-disciplinary teams for cross-project initiatives.
Mentorship opportunities within a knowledgeable organization.
Participation in on-call and incident response to enhance operational skills.
Full Job Description
Responsibilities:
Design, build, and evolve CI/CD pipelines that support reliable and efficient build, test, and release workflows across the organization.
Own and improve artifact lifecycle systems, including versioning, storage, distribution, dependency management, and 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 supporting CI workloads, balancing cost, performance, scalability, and reliability.
Troubleshoot complex build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing durable fixes.
Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
Identify systemic bottlenecks across developer workflows and lead architectural improvements to developer infrastructure.
Contribute to the company's efforts around AI tooling to improve engineering productivity and automate repetitive workflows.
Provide technical leadership across projects, influence engineering standards, and mentor other engineers within the Developer Productivity organization.
Participate in on-call and incident response for Developer Productivity systems and services.
Skills & Qualifications
7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
Deep hands-on experience with CI/CD systems and building or evolving automated build, test, and deployment infrastructure.
Experience with artifact repositories, software packaging, dependency management, and reproducible build concepts.
Experience with cloud computing platforms, with AWS preferred, and programmatic infrastructure provisioning.
Strong experience with distributed version control systems, code review workflows, branching strategies, and repository management.
Strong understanding of Linux/Unix systems, networking fundamentals, and scripting or programming for automation.
Experience with containerization and container orchestration, with Kubernetes preferred.
Strong troubleshooting skills and the ability to debug complex distributed systems and infrastructure issues.
Demonstrated experience leading technical initiatives across multiple teams and driving improvements to developer infrastructure at organizational scale.
Ability to identify architectural bottlenecks, evaluate tradeoffs, and drive long-term improvements rather than only addressing operational issues.
Experience operating production systems and participating in on-call, incident response, and postmortem processes.
Preferred Skills & Qualifications
Experience with infrastructure-as-code tools and practices.
Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling.
Experience with build systems, build graph optimization, or large-scale build infrastructure.
Experience with observability practices including monitoring, logging, alerting, and performance analysis.
Experience building internal developer platforms, self-service tooling, or developer-facing infrastructure.
Experience applying AI/LLM tooling to engineering workflows or developer productivity.
BS/MS in Computer Science or a related field, or equivalent practical experience.
