Lead DevOps Engineer

Responsibilities:

• Own and define the end-to-end cloud infrastructure architecture on GCP for large-scale production systems.
• Lead and mentor a team of DevOps engineers, driving best practices and technical standards.
• Design, build, and manage CI/CD pipelines for automated, reliable deployments at scale.
• Architect and operate Kubernetes (GKE) clusters, including capacity planning, scaling, Helm-based deployments, and zero-downtime rollbacks.
• Define and implement Infrastructure as Code using Terraform module creation, versioning, and standardisation.
• Drive DevSecOps practices: security hardening, compliance, secrets management, and vulnerability management.
• Implement and own observability stacks: Prometheus, Grafana, ELK, Datadog, alerting, and incident response.
• Lead cloud cost optimisation initiatives: FinOps, right-sizing, reserved instances.
• Drive GitOps workflows using ArgoCD or similar tools.
• Collaborate with product, backend, and AI engineering teams for seamless infrastructure delivery.
• Define and own SLAs, SLOs, and reliability frameworks for production systems.
• Lead cloud migration, platform modernisation, and infrastructure roadmap planning.

Requirements:

• 8-10 years of experience in DevOps, Cloud, or Platform Engineering.
• Strong hands-on expertise in GCP (Mandatory): GKE, Cloud Run, Cloud Build, Cloud Storage, VPC, IAM.
• Deep expertise in Kubernetes cluster management, Helm, GitOps, scaling strategies.
• Strong Terraform skills writing, managing, and owning IaC modules end-to-end.
• Proficiency in CI/CD tools: Jenkins, GitLab CI, GitHub Actions, ArgoCD.
• Strong Linux and Bash/Shell scripting skills.
• Experience with monitoring and observability: Prometheus, Grafana, ELK, Datadog.
• Deep understanding of DevSecOps: IAM, RBAC, secrets management, vulnerability scanning.
• Strong networking fundamentals: VPC, DNS, load balancers, firewalls, service mesh.
• Experience leading and mentoring DevOps teams.

Good to Have:

• Multi-cloud experience: AWS or Azure alongside GCP.
• Experience with Istio or service mesh technologies.
• Familiarity with MLOps or AI infrastructure: Vertex AI, SageMaker.
• GCP Professional certifications: Cloud Architect, DevOps Engineer.
• Experience with FinOps and cloud cost governance.
• Exposure to Kafka, Redis, or distributed systems at scale.
• Background in telecom or large-scale enterprise product companies.