5 years of experience in Release Engineering, DevOps, or Build/CI roles. Expert in CI/CD concepts, Git workflows, and branching strategies. Hands-on experience with Harness for automated deployments and governance. Experience integrating CI/CD pipelines with automated testing and quality gates. AI-Driven Release Automation: Exposure to AI-driven automation in release pipelines, including automated test generation and prioritization, anomaly detection in build/release metrics, predictive failure analysis, and self-healing pipelines.
AI-Assisted Troubleshooting: Experience using AI/ML-based tools or LLMs to accelerate root cause analysis, summarize build/release failures, or generate remediation suggestions. Familiarity with Infrastructure as Code (Terraform, Ansible, CloudFormation). Exposure to artifact management tools (Artifactory, Nexus). Understanding of observability tools (Grafana, Prometheus, ELK, Splunk) to monitor release pipelines, including using anomaly detection to proactively flag pipeline health issues.
Knowledge of security best practices in CI/CD (secrets management, signing, vulnerability scanning), including AI-assisted vulnerability triage and prioritization. Experience with feature flagging systems or progressive delivery (e.g., Argo Rollouts), including data-driven or AI-assisted rollout decisioning. Familiarity with containerization (Docker) and orchestration basics (Kubernetes). Strong problem-solving skills and attention to detail.
Excellent collaboration and communication skills.