We are seeking a hands-on Release Engineering Leader to own and transform our end-to-end software delivery lifecycle across multiple products and teams. This role will build a standardized, scalable, and automated release platform using modern GitOps and DevOps practices, enabling teams to deliver software faster, more reliably, and with minimal friction.
This is a hands-on, high-impact role focused on platform building, automation, and organization-wide enablementnot release coordination.
Key Responsibilities
- Define and implement GitOps practices and deployment strategies
- Architect and standardize CI/CD pipelines across teams
- Build reusable pipeline templates and shared workflows
- Establish release processes, versioning standards, and deployment strategies
- Implement progressive delivery models (blue-green, canary) and automated rollback mechanisms
- Drive Infrastructure-as-Code adoption and automate environment provisioning
- Design and enable ephemeral and on-demand environments
- Integrate monitoring, logging, and alerting into the release lifecycle
- Define and track SLIs/SLOs and implement release quality gates
- Embed security practices into CI/CD pipelines (DevSecOps)
- Build self-service deployment platforms and developer “golden paths”
- Partner with engineering teams to drive adoption of standardized practices
- Provide training, documentation, and internal consulting
- Continuously improve release efficiency, reliability, and developer experience
Required Qualifications
- 7+ years of experience in software engineering, DevOps, or release engineering
- Proven experience building and scaling CI/CD platforms across multiple teams
- Strong experience with GitOps methodologies and practices
- Hands-on experience with Kubernetes and containerized deployments
- Solid expertise in CI/CD tools and pipeline architecture
- Experience with Infrastructure-as-Code tools
- Proficiency in scripting/programming (Python, Bash, or equivalent)
- Experience with cloud platforms (Azure preferred)
Strong understanding of monitoring, logging, and observability