Key Responsibilities
- Design and maintain secure, auditable CI / CD pipelines (GitHub Actions, Jenkins, GitLab CI / CD).
- Continuously improve automation to enable fully automated deployments.
- Enforce compliance and governance through pipeline-as-code .
- Integrate AI / ML models for anomaly detection, risk scoring, and predictive rollback.
- Automate multi-cluster, multi-region Kubernetes deployments using Helm, Kustomize, and GitOps.
- Collaborate with Dev, QA, and Security teams to standardize deployment practices and SLAs.
- Maintain release health dashboards , tracking KPIs such as lead time and compliance violations.
- Build self-service release capabilities with guardrails and approval workflows.
- Enhance release intelligence and observability through tool integration.
- Collaborate with SREs to automate early testing and release validation.
Required Skills & Experience
7+ years in Release Engineering, DevOps, or SRE with end-to-end automation experience.Expertise with CD pipeline tools (GitHub Actions, GitLab CI, Jenkins).Strong background in build / deployment automation (Kubernetes, Helm, Docker, GitOps).Proficient in Python, TypeScript, Bash, or Go .Experience with AI / ML in CI / CD (e.g., ML-based risk scoring, anomaly detection).Skills Required
Release Engineer, Devops, SRE