At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your Project

We are seeking an experienced Platform Engineer to design, build, and maintain scalable cloud platforms and development toolchains that support high-velocity software delivery. This role focuses on enhancing developer experience, automating infrastructure, and enabling continuous integration and delivery (CI/CD) across enterprise environments.

The ideal candidate will have a strong background in cloud infrastructure, DevOps practices, and platform engineering, with hands-on experience in Google Cloud Platform (GCP) and modern automation tools.

Your Role

Minimum 4+ years in platform engineering, DevOps, or cloud infrastructure roles.
Preferred 6+ years working with enterprise-scale automation and tooling.
Experience in high-velocity development environments is highly desirable.
Infrastructure as Code: Terraform, Pulumi, CloudFormation. CI/CD: Jenkins, GitLab CI, Cloud Build. Containers: Kubernetes, Docker. Configuration Management: Ansible, Puppet, Chef. Monitoring & Logging: Prometheus, Grafana, ELK Stack, Cloud Operations. Developer Tooling: Self-service platforms, internal developer portals. Development & Automation
Programming: Python, Go, Java, JavaScript. API development and integration. Microservices and distributed systems architecture. Database management and performance optimization. Automated testing and quality assurance. Security scanning and compliance automation. GCP Expertise (Required)
Development Tools: Cloud Build, Cloud Source Repositories, Container Registry. Compute Services: GKE, Cloud Run, Cloud Functions, GCE. Storage: Cloud Storage, Cloud SQL, Persistent Disks. Networking: VPC, Load Balancing, Cloud Endpoints. Monitoring & Logging: Cloud Operations Suite, Error Reporting, Cloud Trace. DevOps & Automation on GCP
Cloud Deployment Manager and Terraform: Anthos for hybrid and multi-cloud application modernization. Binary Authorization and container security. Cloud KMS for secrets and key management. Pub/Sub for event-driven architecture. Certifications (Preferred)
Google Cloud Professional DevOps Engineer: Google Cloud Professional Cloud Developer. Certified Kubernetes Application Developer (CKAD).
Systematic problem-solving and performance optimization.
Clear and concise technical documentation.
Mentoring junior engineers and promoting best practices.
Experience with Agile methodologies and continuous improvement.

Your Tasks

Design and implement infrastructure automation using Infrastructure as Code (IaC) tools.
Build and maintain CI/CD pipelines to support rapid and reliable software delivery.
Manage container orchestration platforms and serverless compute environments.
Develop and support internal developer platforms and self-service tooling.
Implement monitoring, logging, and alerting systems for platform reliability.
Collaborate with development and operations teams to improve workflows and system performance.
Ensure platform security, compliance, and scalability through automation and best practices.
Document platform architecture, processes, and tooling for knowledge sharing.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.