Gcp Engineer

6 - 10 years

2 - 7 Lacs

Posted:6 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Given your work experience, we believe it would be a great opportunity for you to progress in your career at Capgemini.

GCP GKE

Location: PAN India

Experience: 5 - 10 Years

Job Summary: We are seeking a highly skilled and experienced GKE to join our team. The ideal candidate will be responsible for designing, implementing, and managing Google cloud solutions that drive business transformation. This role requires a deep understanding of Google services, strong architectural principles, and the ability to translate business requirements into scalable, reliable, and secure cloud solutions.

Key Responsibilities:

1. Containerization & Docker Expertise:

  • Advanced Docker Knowledge:
  • Deep understanding of Docker file optimization, multi-stage builds, and image layer caching for efficient image creation.
  • Proficiency in Docker Compose for multi-container application orchestration (useful for local testing and migration planning).
  • Security best practices for Docker images, including vulnerability scanning and secure registry management.
  • Container Runtime Understanding:
  • Knowledge of container runtimes like container and their implications on GKE.
  • Debugging container runtime issues.

2. Kubernetes (GKE) Mastery:

  • GKE Cluster Architecture & Design:
  • Ability to design highly available, scalable, and secure GKE clusters based on workload requirements.
  • Expertise in node pool management, autoscaling, and resource optimization.
  • Understanding of GKE networking, including VPCs, subnets, and network policies.
  • Knowledge of GKE security features, such as IAM, RBAC, and workload identity.
  • Understanding of GKE Autopilot vs Standard mode, and when to use each.

  • GKE Security:
  • Workload Identity.
  • Binary Authorization.
  • Network Policies.
  • Secret Management.

3. DevOps & Infrastructure as Code (IaC):

  • CI/CD Pipelines:
  • Designing and implementing robust CI/CD pipelines for containerized applications using tools like Cloud Build, Jenkins, GitLab CI, or Argo CD.
  • Automating image building, testing, and deployment to GKE.
  • Implementing blue/green deployments or canary releases.
  • Infrastructure as Code (IaC):
  • Proficiency in using Terraform or Deployment Manager to automate GKE cluster provisioning and configuration.
  • Managing infrastructure changes through version control and code reviews.
  • Using tools like Config Connector to manage GCP resources with kubernetes.

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