Join a global leader in business and technology transformation. Capgemini empowers you to shape your career through a collaborative environment and opportunities to reimagine what's possible with technology. Contribute to building a more sustainable and inclusive world by unlocking the value of technology for leading organizations.

This role focuses on supporting Guidewire applications by designing, implementing, and maintaining robust DevOps practices. You will be instrumental in automating processes, managing cloud infrastructure, and ensuring the stability and security of development and production environments.

Design and maintain CI/CD pipelines tailored for Guidewire applications, automating build, deployment, testing, and release processes. Manage Guidewire Cloud and its supporting infrastructure, configuring various environments from development to production. Implement Infrastructure as Code (IaC) using tools like Terraform and manage configuration with Ansible. Support Guidewire application updates, patches, and releases, while actively monitoring system health, performance, and availability.

Troubleshoot deployment, infrastructure, and environment issues efficiently. Implement crucial security controls, manage secrets, and ensure compliance. Collaborate closely with Guidewire developers, architects, QA, and business teams to establish DevSecOps practices and automated quality gates. Develop operational runbooks and deployment procedures, and support disaster recovery, backup, and resilience initiatives.

We are seeking an experienced DevOps Engineer with 4 to 6 years of dedicated experience in Guidewire DevOps. Proficiency is required in version control systems such as Git, Bitbucket, and GitLab. Expertise in CI/CD tools like Jenkins, and build tools including Maven and Gradle is essential. Experience with Infrastructure as Code (IaC) using Terraform is a must, alongside configuration management tools like Ansible.

Familiarity with containerization using Docker and orchestration with Kubernetes is expected. Cloud experience with AWS or GCP is necessary. Strong scripting skills in Python, Shell, or Groovy are required. Experience with code quality tools like SonarQube and artifact management tools such as JFrog or Nexus is beneficial. Proficiency in monitoring tools like Prometheus and Grafana, logging solutions (ELK, Splunk, CloudWatch), and secrets management tools like HashiCorp Vault is also key.