GCP and DevOps Architect

14 - 15 years

30 - 35 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Architecture & Delivery Design scalable, resilient reference architectures on Google Cloud Platform (GCP) using VPC, Cloud Load Balancing, Persistent Disks, Cloud Storage, Compute Engine, App Engine, and Google Kubernetes Engine (GKE). Lead containerization and container orchestration strategies; standardize deployments with Helm and GitOps-friendly workflows. Define data architecture patterns using CloudSQL, Memorystore, BigQuery, and integrate Vertex AI for ML/AI use cases.
  • Platform Engineering & Automation Implement Infrastructure as Code with Terraform; enforce modular, reusable stacks and environment promotion. Establish/optimize CI/CD pipelines with GitLab and Jenkins; integrate SonarQube for code quality and security gates.
  • Security, Compliance & Resilience Drive DevSecOps practices; embed security scanning and policy as code. Implement org-level controls with Google Security Command Center; integrate IAM with OneLogin (SSO/SCIM/OIDC). Own WAF strategy: operate current Reblaze WAF and plan/migrate to Cloud Armor; manage DDoS protection with Cloud Armor and best-practice network patterns.
  • SRE & Operations Set up observability and SLOs using Cloud Operations Suite (Logging, Monitoring, Tracing); enable autoscaling and self-healing. Champion cost governance (rightsizing, committed use, storage lifecycle) and disaster recovery (RTO/RPO, backups).
  • Leadership & Governance Run architecture reviews, threat models, and design workshops; mentor engineers and standardize patterns via ADRs and blueprints. Collaborate with product, data, and security stakeholders; maintain a living cloud roadmap.

Required skills & experience Core GCP: GCP org/project structure, VPC design (subnets, peering, Shared VPC), Cloud Load Balancing, Persistent Disks, Cloud Storage, Compute Engine, App Engine. Containers: GKE cluster architecture (node pools, autoscaling, upgrades), Helm packaging, registry and supply-chain security. Data & AI: CloudSQL, Memorystore, BigQuery architecture/performance, Vertex AI pipelines/inference integration patterns. DevOps/Platform: Terraform (workspaces/modules), GitLab (repos, runners), Jenkins, CI/CD Pipeline best practices, SonarQube quality gates. Security: Google Security Command Center, IAM (workload identity, least privilege) and OneLogin federation, DevSecOps tooling, WAF (Reblaze current Cloud Armor planned), DDoS management / Cloud Armor. Operations: Cloud Operations Suite (Monitoring/Logging/Trace), incident management, SLOs/error budgets, capacity planning, runbooks. Ways of Working: Strong documentation, design reviews, and stakeholder communication; ability to lead delivery across multiple teams. Nice to have Kubernetes certs (CKA/CKS), FinOps experience, SRE background, policy-as-code (OPA/Gatekeeper), service mesh (Anthos/ASM/Istio), eventing (Pub/Sub), data pipelines (Dataflow/Dataproc), scripting (Python/Go), and experience with regulated environments (SOC2/PCI/ISO 27001).

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