Capgemini offers a collaborative environment where you can shape your career, receive support, and reimagine possibilities. Join us to help leading organizations leverage technology for a more sustainable and inclusive world. This role focuses on managing GCP cloud infrastructure, automating deployments, and ensuring application reliability and scalability.

As a DevOps Engineer at Capgemini, you'll contribute to impactful projects, working with cutting-edge technology and industry leaders. We are committed to fostering a responsible and diverse global community, delivering end-to-end solutions with deep industry expertise and a strong partner ecosystem.

Manage and maintain GCP cloud infrastructure, ensuring high availability and performance. Automate application deployments and infrastructure provisioning using tools like Terraform and Deployment Manager. Build and optimize CI/CD pipelines using GitHub Actions and other relevant technologies. Containerize applications using Docker and orchestrate them with Kubernetes. Develop automation scripts in Linux, Bash, and Python to streamline operations. Implement robust monitoring and alerting systems using Prometheus, Grafana, Splunk, and Kibana. Integrate DevSecOps practices, including SAST, DAST, and container security scanning. Manage Identity and Access Management (IAM) policies and configurations within GCP. Govern cloud costs through the effective use of GCP Billing APIs, Budgets, and Recommendations. Implement and manage autoscaling strategies for GKE and MIGs. Design and implement multi-region failover and backup solutions. Optimize container images and CI/CD caching for efficiency.

Minimum of 6 years of experience in DevOps engineering. Proficiency in managing core GCP services (Compute, VPC, IAM, DNS, MIGs, Cloud Functions, Cloud Monitoring, Cloud Run, GKE). Hands-on experience with Infrastructure as Code (IaC) tools like Terraform and Deployment Manager. Expertise in building and managing CI/CD pipelines with GitHub Actions. Strong knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes). Solid scripting skills in Linux, Bash, and Python. Experience with monitoring tools such as Prometheus, Grafana, Splunk, and Kibana. Understanding of DevSecOps principles and tools (SAST, DAST, container scanning). Familiarity with managing IAM policies, service accounts, and workload identity federation. Knowledge of GCP cost governance tools and APIs. Experience implementing autoscaling strategies and distributed tracing (OpenTelemetry).