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Capgemini

Platform Engineer

Posted 13 hours ago
5-10 years experience
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AI Summary

The Platform Engineer will design, deploy, and troubleshoot containerized applications and infrastructure on platforms like OpenStack and Kubernetes. They will also develop automation scripts to streamline operational tasks and lead the resolution of complex customer incidents.

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.

Job Description

Your Role:

We are seeking a highly skilled and motivated Platform Engineer to join our Infrastructure Customer Engineering and Support team. This is a special Engineering task force dedicated to design, deploy and troubleshoot OpenStack/ OpenShift environments. They are deeply involved in technologies like Nokia Container Services (NCS) and CloudBand Infrastructure Software (CBIS), private clouds based on Kubernetes and OpenStack, and collaborate closely with developers and product engineers to bridge the gap between infrastructure and software.

  • Design, deploy, configure, manage, troubleshoot, and optimize containerized applications and infrastructure deployed on platforms like Kubernetes, OpenShift, and OpenStack.
  • Develop, test, and maintain robust automation scripts using Python and Ansible to streamline daily operational tasks and improve overall service efficiency.
  • Lead the investigation and resolution of complex, high-severity customer incidents.
  • Utilize expertise to quickly identify root causes and implement effective, durable solutions.
  • Prepare and conduct rigorous Root Cause Analysis (RCA) for critical incidents to identify systemic issues and prevent recurrence.
  • Stay current with industry’s best practices and emerging technologies in cloud and containerization. 

Your Profile:

  • Networking Foundations: Strong knowledge of core networking principles (TCP/IP, routing, load balancing, firewalls) in a cloud environment. A solid grasp of computer networking fundamentals, such as understanding of VLANs and IP routing, is a must.
  • Containerization & Virtualization: Strong knowledge of Kubernetes orchestration, OpenStack platforms, and Docker/Containerization. Knowledge in areas like Podman, Kubernetes, Helm, and/or OpenStack, KVM/QEMU is a significant advantage.
  • Scripting and Automation: Solid Python scripting skills for task automation and system management. Proficiency in scripting with Bash and Python, or the willingness to learn and adapt, as well as familiarity with Ansible is required.
  • Root Cause Analysis (RCA): Expertise in preparation and implementation of RCAs.
  • Escalation and Monitoring: Proven experience with EME (Escalation, Monitoring, and Emergency) management processes.
  • Database Expertise: Understanding of relational databases such as MySQL and MariaDB, as well as experience with ETCD. 

Certifications:

  • Red Hat Certified Specialist in Cloud Infrastructure (EX210).
  • Red Hat Certified Engineer (RHCE).
  • Red Hat OpenStack (EX310).
  • RedHat Certified Specialist in OpenShift Administration (EX280).
  • RedHat Certified Specialist in OpenShift Automation and API Management (EX380). 

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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.

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