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Capgemini
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Gcp Engineer

Gcp Engineer

Capgemini

6 - 10 years

2 - 7 Lacs

hyderabad chennai bengaluru

Posted:6 days ago| Platform:

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Skills Required

jenkins gke cluster terraform gcp bitbucket git bash scripting vulnerability management troubleshooting

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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Gcp Engineer