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You will design, develop, and maintain scalable software solutions while building platform components to support developer self-service capabilities. Additionally, you will integrate software with CI/CD pipelines and automate infrastructure provisioning and configuration processes.
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.
You will join the OS Factory product as a Python & DevOps Engineer. The platform is designed to accelerate the delivery of hardened operating system images across major public cloud providers, enabling engineering teams to securely manage the end-to-end lifecycle of OS images through self-service capabilities.
The hardened OS images play a critical role in securing both enterprise and digital product workloads, supporting highly sensitive environments that must comply with strict regulatory standards and certifications such as HITRUST and the ISO 27000 family. The platform is built to provide a stable, secure, reliable, and continuously updated operating system landscape.
The OS Factory is a highly automated, scalable, and self-service solution that supports multi-cloud environments including AWS, Azure, GCP, and other specialized cloud providers.
As a Python & DevOps Engineer, you will play a key engineering role in building and evolving the Hardened OS Factory platform while fostering a culture of technical excellence and collaboration.
Your responsibilities will include:
We're looking for a candidate with:
Experience working with major cloud providers, such as AWS (nice to have experience with Azure and GCP)
Knowledge of serverless and event-driven architecture patterns.
Experience with Infrastructure as Code (IaC) and automation tools including Terraform and Ansible.
Solid understanding of CI/CD practices, particularly with GitLab CI/CD.
Experience with Kubernetes and containerized environments.
Knowledge of monitoring and observability tools such as Prometheus and Grafana.
Strong problem-solving skills and a collaborative, ownership-driven mindset
Relevant certifications are considered a plus, including:
Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries
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