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Description supplied by the original job listing.
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.
Experience
8-10 yrs
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