Google Kubernetes Lead
Capgemini
Google Kubernetes Lead
Job Description
Google Kubernetes Lead
📋 Job Overview
Capgemini is seeking an experienced GKE Lead with 6-9 years of expertise in containerization, Kubernetes (GKE), and cloud-native architecture for a PAN India role. The position involves designing, deploying, and managing secure, scalable GKE clusters for enterprise applications on Google Cloud Platform. The ideal candidate will implement CI/CD pipelines, IaC with Terraform, monitoring solutions, and collaborate on migration strategies while ensuring security and performance standards.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Cloud Infrastructure Services
🎯 Key Responsibilities
- Design, deploy, and manage GKE clusters for enterprise applications
- Implement monitoring and alerting for GKE clusters using tools such as Prometheus, Stackdriver, or Grafana
- Develop and maintain CI/CD pipelines and GitOps workflows
- Implement Infrastructure as Code (IaC) using Terraform
- Collaborate with platform engineering teams on migration strategies and workload optimization
- Ensure compliance with security best practices and performance standards
✅ Required Qualifications
- 6–9 years of experience in Kubernetes and container orchestration
- Strong proficiency in GCP services and Google Cloud architecture
- Hands-on experience with Docker, CI/CD tools, and GitOps
- Expertise in Terraform for infrastructure automation
- Solid understanding of platform engineering, cloud migration strategies, and enterprise workload design
- Expertise in designing and managing scalable, secure GKE clusters
- Advanced knowledge of Dockerfile optimization, multi-stage builds, and image security
- Proficiency in Terraform and Config Connector for automating GKE provisioning
- Experience with Cloud Build, Jenkins, GitLab CI, and Argo CD for automated deployments
- Strong understanding of GCP networking, IAM, Cloud Storage, and Cloud SQL
- Skills in VPC-native clusters, workload identity, network policies, and binary authorization
- Implementation of GitOps workflows and DevOps automation for cloud-native applications
⭐ Preferred Qualifications
- GCP certifications (e.g., Professional Cloud Architect, Kubernetes Engineer)
- Experience with monitoring and observability tools (e.g., Prometheus, Grafana)
🛠️ Required Skills
- Containerization technologies like Docker and Kubernetes
- GKE services including Autoscaler, Load Balancing, Networking, and IAM
- GCP services and Google Cloud architecture
- CI/CD tools
- GitOps workflows
- Terraform for infrastructure automation
- Prometheus
- Stackdriver
- Grafana
- Config Connector
- Cloud Build
- Jenkins
- GitLab CI
- Argo CD
- GCP networking
- IAM
- Cloud Storage
- Cloud SQL
- VPC-native clusters
- Workload identity
- Network policies
- Binary authorization
- DevOps automation
- Cloud-native applications
- Platform engineering
- Cloud migration strategies
- Enterprise workload design
- Dockerfile optimization
- Multi-stage builds
- Image security
🎁 Benefits & Perks
- Range of career paths and internal opportunities within Capgemini group
- Personalized career guidance from leaders
- Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- Opportunity to work on cutting-edge projects in tech and engineering with industry leaders
- Create solutions to overcome societal and environmental challenges
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Containerization technologies like Docker and Kubernetesintermediate
- GKE services including Autoscaler, Load Balancing, Networking, and IAMintermediate
- GCP services and Google Cloud architectureintermediate
- CI/CD toolsintermediate
- GitOps workflowsintermediate
- Terraform for infrastructure automationintermediate
- Prometheusintermediate
- Stackdriverintermediate
- Grafanaintermediate
- Config Connectorintermediate
- Cloud Buildintermediate
- Jenkinsintermediate
- GitLab CIintermediate
- Argo CDintermediate
- GCP networkingintermediate
- IAMintermediate
- Cloud Storageintermediate
- Cloud SQLintermediate
- VPC-native clustersintermediate
- Workload identityintermediate
- Network policiesintermediate
- Binary authorizationintermediate
- DevOps automationintermediate
- Cloud-native applicationsintermediate
- Platform engineeringintermediate
- Cloud migration strategiesintermediate
- Enterprise workload designintermediate
- Dockerfile optimizationintermediate
- Multi-stage buildsintermediate
- Image securityintermediate
Required Qualifications
- 6–9 years of experience in Kubernetes and container orchestration (experience)
- Strong proficiency in GCP services and Google Cloud architecture (experience)
- Hands-on experience with Docker, CI/CD tools, and GitOps (experience)
- Expertise in Terraform for infrastructure automation (experience)
- Solid understanding of platform engineering, cloud migration strategies, and enterprise workload design (experience)
- Expertise in designing and managing scalable, secure GKE clusters (experience)
- Advanced knowledge of Dockerfile optimization, multi-stage builds, and image security (experience)
- Proficiency in Terraform and Config Connector for automating GKE provisioning (experience)
- Experience with Cloud Build, Jenkins, GitLab CI, and Argo CD for automated deployments (experience)
- Strong understanding of GCP networking, IAM, Cloud Storage, and Cloud SQL (experience)
- Skills in VPC-native clusters, workload identity, network policies, and binary authorization (experience)
- Implementation of GitOps workflows and DevOps automation for cloud-native applications (experience)
Preferred Qualifications
- GCP certifications (e.g., Professional Cloud Architect, Kubernetes Engineer) (experience)
- Experience with monitoring and observability tools (e.g., Prometheus, Grafana) (experience)
Responsibilities
- Design, deploy, and manage GKE clusters for enterprise applications
- Implement monitoring and alerting for GKE clusters using tools such as Prometheus, Stackdriver, or Grafana
- Develop and maintain CI/CD pipelines and GitOps workflows
- Implement Infrastructure as Code (IaC) using Terraform
- Collaborate with platform engineering teams on migration strategies and workload optimization
- Ensure compliance with security best practices and performance standards
Benefits
- general: Range of career paths and internal opportunities within Capgemini group
- general: Personalized career guidance from leaders
- general: Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- general: Opportunity to work on cutting-edge projects in tech and engineering with industry leaders
- general: Create solutions to overcome societal and environmental challenges
Tags & Categories
Google Kubernetes Lead
Capgemini
Google Kubernetes Lead
Job Description
Google Kubernetes Lead
📋 Job Overview
Capgemini is seeking an experienced GKE Lead with 6-9 years of expertise in containerization, Kubernetes (GKE), and cloud-native architecture for a PAN India role. The position involves designing, deploying, and managing secure, scalable GKE clusters for enterprise applications on Google Cloud Platform. The ideal candidate will implement CI/CD pipelines, IaC with Terraform, monitoring solutions, and collaborate on migration strategies while ensuring security and performance standards.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Cloud Infrastructure Services
🎯 Key Responsibilities
- Design, deploy, and manage GKE clusters for enterprise applications
- Implement monitoring and alerting for GKE clusters using tools such as Prometheus, Stackdriver, or Grafana
- Develop and maintain CI/CD pipelines and GitOps workflows
- Implement Infrastructure as Code (IaC) using Terraform
- Collaborate with platform engineering teams on migration strategies and workload optimization
- Ensure compliance with security best practices and performance standards
✅ Required Qualifications
- 6–9 years of experience in Kubernetes and container orchestration
- Strong proficiency in GCP services and Google Cloud architecture
- Hands-on experience with Docker, CI/CD tools, and GitOps
- Expertise in Terraform for infrastructure automation
- Solid understanding of platform engineering, cloud migration strategies, and enterprise workload design
- Expertise in designing and managing scalable, secure GKE clusters
- Advanced knowledge of Dockerfile optimization, multi-stage builds, and image security
- Proficiency in Terraform and Config Connector for automating GKE provisioning
- Experience with Cloud Build, Jenkins, GitLab CI, and Argo CD for automated deployments
- Strong understanding of GCP networking, IAM, Cloud Storage, and Cloud SQL
- Skills in VPC-native clusters, workload identity, network policies, and binary authorization
- Implementation of GitOps workflows and DevOps automation for cloud-native applications
⭐ Preferred Qualifications
- GCP certifications (e.g., Professional Cloud Architect, Kubernetes Engineer)
- Experience with monitoring and observability tools (e.g., Prometheus, Grafana)
🛠️ Required Skills
- Containerization technologies like Docker and Kubernetes
- GKE services including Autoscaler, Load Balancing, Networking, and IAM
- GCP services and Google Cloud architecture
- CI/CD tools
- GitOps workflows
- Terraform for infrastructure automation
- Prometheus
- Stackdriver
- Grafana
- Config Connector
- Cloud Build
- Jenkins
- GitLab CI
- Argo CD
- GCP networking
- IAM
- Cloud Storage
- Cloud SQL
- VPC-native clusters
- Workload identity
- Network policies
- Binary authorization
- DevOps automation
- Cloud-native applications
- Platform engineering
- Cloud migration strategies
- Enterprise workload design
- Dockerfile optimization
- Multi-stage builds
- Image security
🎁 Benefits & Perks
- Range of career paths and internal opportunities within Capgemini group
- Personalized career guidance from leaders
- Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- Opportunity to work on cutting-edge projects in tech and engineering with industry leaders
- Create solutions to overcome societal and environmental challenges
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Containerization technologies like Docker and Kubernetesintermediate
- GKE services including Autoscaler, Load Balancing, Networking, and IAMintermediate
- GCP services and Google Cloud architectureintermediate
- CI/CD toolsintermediate
- GitOps workflowsintermediate
- Terraform for infrastructure automationintermediate
- Prometheusintermediate
- Stackdriverintermediate
- Grafanaintermediate
- Config Connectorintermediate
- Cloud Buildintermediate
- Jenkinsintermediate
- GitLab CIintermediate
- Argo CDintermediate
- GCP networkingintermediate
- IAMintermediate
- Cloud Storageintermediate
- Cloud SQLintermediate
- VPC-native clustersintermediate
- Workload identityintermediate
- Network policiesintermediate
- Binary authorizationintermediate
- DevOps automationintermediate
- Cloud-native applicationsintermediate
- Platform engineeringintermediate
- Cloud migration strategiesintermediate
- Enterprise workload designintermediate
- Dockerfile optimizationintermediate
- Multi-stage buildsintermediate
- Image securityintermediate
Required Qualifications
- 6–9 years of experience in Kubernetes and container orchestration (experience)
- Strong proficiency in GCP services and Google Cloud architecture (experience)
- Hands-on experience with Docker, CI/CD tools, and GitOps (experience)
- Expertise in Terraform for infrastructure automation (experience)
- Solid understanding of platform engineering, cloud migration strategies, and enterprise workload design (experience)
- Expertise in designing and managing scalable, secure GKE clusters (experience)
- Advanced knowledge of Dockerfile optimization, multi-stage builds, and image security (experience)
- Proficiency in Terraform and Config Connector for automating GKE provisioning (experience)
- Experience with Cloud Build, Jenkins, GitLab CI, and Argo CD for automated deployments (experience)
- Strong understanding of GCP networking, IAM, Cloud Storage, and Cloud SQL (experience)
- Skills in VPC-native clusters, workload identity, network policies, and binary authorization (experience)
- Implementation of GitOps workflows and DevOps automation for cloud-native applications (experience)
Preferred Qualifications
- GCP certifications (e.g., Professional Cloud Architect, Kubernetes Engineer) (experience)
- Experience with monitoring and observability tools (e.g., Prometheus, Grafana) (experience)
Responsibilities
- Design, deploy, and manage GKE clusters for enterprise applications
- Implement monitoring and alerting for GKE clusters using tools such as Prometheus, Stackdriver, or Grafana
- Develop and maintain CI/CD pipelines and GitOps workflows
- Implement Infrastructure as Code (IaC) using Terraform
- Collaborate with platform engineering teams on migration strategies and workload optimization
- Ensure compliance with security best practices and performance standards
Benefits
- general: Range of career paths and internal opportunities within Capgemini group
- general: Personalized career guidance from leaders
- general: Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- general: Opportunity to work on cutting-edge projects in tech and engineering with industry leaders
- general: Create solutions to overcome societal and environmental challenges
Tags & Categories