Sr. Principal, DevOps
What you'll do:
- Own the architecture, implementation, and day-to-day reliability of our CI/CD pipelines end to end — build, test, package, publish, deploy
- Cut build and test cycle times through parallelization, caching, incremental builds, and smarter agent/executor utilization
- Build and maintain the build infrastructure itself: build agents, containerized build environments, artifact repositories, and dependency management
- Integrate automated testing, code quality gates, static analysis, and security scanning directly into the pipeline, with clear feedback to developers
- Define and enforce branching, versioning, and release strategies across teams
- Treat pipelines as code — version-controlled, reviewed, reusable, and templated as shared libraries rather than copy-pasted per project
- Monitor pipeline health and build reliability; hunt down flaky tests and non-deterministic builds and drive them out
- Partner directly with software engineers as the internal service owner of CI — unblock failing builds, onboard new services, and make the paved path the easy path
- Lead AI initiatives within the engineering group: integrate AI-driven tooling into the pipeline and the broader SDLC for code review, test generation, failure triage, and developer productivity
What you should have:
- 10+ years in DevOps, Build/Release Engineering, or a similar role, with CI/CD as a primary responsibility
- Deep hands-on expertise with CI/CD platforms (Jenkins strongly preferred — including pipeline-as-code, shared libraries, etc)
- Strong Git skills, including branching strategies, merge/rebase workflows, monorepo or multi-repo tradeoffs, and repository administration
- Proficiency with Atlassian tooling — Bitbucket, Jira, Confluence — and with automating across them
- Experience with artifact and dependency management (Artifactory/JFrog, Nexus, or similar), including repository layout, retention, and promotion policies
- Strong scripting and automation skills in Groovy, Bash, Python, or Go
- Proficiency with containers and orchestration — Docker, Kubernetes, Helm — particularly for build environments and deployment targets
- Experience with test automation frameworks and integrating them into CI, plus code quality tooling (linters, static analysis, coverage, SonarQube or similar)
- Working knowledge of cloud platforms (AWS, GCP, or Azure) and Infrastructure as Code (Terraform, CloudFormation) sufficient to provision and maintain delivery infrastructure
- Solid Linux system administration, networking, and security fundamentals
- Experience with monitoring and observability tooling (Prometheus, Grafana, ELK), especially applied to pipeline and build metrics
- Familiarity with AI-assisted development tools such as Claude, GitHub Copilot, or Cursor, and an interest in bringing them into the delivery workflow
- Excellent problem-solving and communication skills, with a service-oriented attitude toward the engineering teams you support
Education:
- Bachelor’s degree in Computer science, Engineering, or a related field.
Skills
- AI
- Artifactory
- Atlassian
- Automation
- AWS
- Azure
- Bash
- Bitbucket
- CI/CD
- Cloud
- CloudFormation
- Confluence
- DevOps
- Docker
- ELK
- GCP
- Git
- GitHub
- Github Copilot
- Grafana
- Groovy
- Helm
- Infrastructure as Code
- Jenkins
- Jira
- Kubernetes
- Linux
- Network Security
- Networking
- Observability
- Prometheus
- Python
- SDLC
- SonarQube
- Terraform
- Test Automation
As published by lever
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