
Education:
Educated to degree level in a relevant subject or IT related such as Computer Science, MCA, B Tech.
Work experience:
Minimum 6-8 years of relevant experience.
Role summary
We are seeking a DevOps Engineer to design, build, and operate automated CI/CD pipelines and cloud infrastructure on Google Cloud Platform using Harness. The engineer will own build/deploy automation, IaC, container orchestration, release strategies (canary/blue-green), and production reliability practices. The role works closely with developers, QA, security, and platform teams to accelerate safe delivery.
Core Skill:
Design, build and operate robust CI/CD pipelines using Harness (pipelines, workflows, triggers, connectors, delegates, secret management, and Harness Feature Flags).
Implement Infrastructure-as-Code using Terraform to provision and manage GCP resources (GKE, Cloud SQL, Cloud Run, VPC, IAM, Artifact Registry/GCR, Cloud Storage, Pub/Sub).
Build and maintain Kubernetes platform resources and Helm/Kustomize charts; support GKE cluster lifecycle, autoscaling, and upgrades.
Enable repeatable, secure deployments: containerization best practices, image promotion, vulnerability scanning, and signing.
Implement release strategies: blue/green, canary, traffic shifting and progressive delivery via Harness and/or service mesh integrations.
Integrate observability and monitoring (Cloud Monitoring/Stackdriver, Prometheus, Grafana, Loki) and logging pipelines; create alerts and runbooks.
Automate compliance, security and secrets management (GCP IAM, Secret Manager, HashiCorp Vault, vulnerability scanning).
Troubleshoot production incidents and lead post-incident reviews; improve reliability via SRE practices and runbooks.
Coach teams on GitOps and CI/CD best practices; write docs and platform runbooks; onboard projects onto Harness and IaC modules.
Collaborate with security and compliance teams to ensure deployments meet governance and audit requirements.
Required skills and experience (must-haves)
Hands-on experience with Google Cloud Platform: GKE, IAM, VPC, Cloud Storage, Artifact Registry/GCR, Cloud SQL, Cloud Run, Pub/Sub, Cloud Monitoring.
Practical experience building/deploying pipelines in Harness (creating pipelines/workflows, connectors, secrets, delegates, triggers, and Harness’ progressive delivery features).
Strong Terraform skills for provisioning and managing cloud infrastructure; modular, testable modules.
Kubernetes experience: manifest authoring, Helm/Kustomize, cluster troubleshooting, deployments, RBAC and networking.
Solid Linux, Docker/containerization, and Git skills.
Experience with CI/CD concepts: build agents, artifact promotion, canary/blue-green, rollback strategies.
Familiarity with CI tools (Jenkins/GitHub Actions/GitLab) and container registries.
Strong scripting skills (Powershell) for automation tasks.
Good communication and cross-functional teamwork skills; ability to write clear runbooks and documentation.
Nice-to-have / preferred
GCP Professional Cloud DevOps Engineer or Professional Cloud Architect certification.
Harness certification or prior experience onboarding multiple teams to Harness.
Experience with feature flags and progressive delivery patterns.
Experience with HashiCorp Vault and secret lifecycle management.
Knowledge of service meshes (Istio/Linkerd/Anthos Service Mesh).
Familiarity with compliance frameworks (PCI, SOC2) and deployment hardening.
Experience in cost optimization and resource budgeting in GCP.
Core Competency
Leadership skills and design thinking : Moderate
Results Orientation - High
Customer Focus - High
Fostering Relationships - High
Good Communicator - High
Driving Change and Innovation - Moderate
Critical and Analytical Thinking - High
