K3s Network Engineer At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe same. \\\\Location\\\\ This is a fully remote role, anywhere in the USA. \\\\About the job you're considering\\\\ We are seeking a Kubernetes Engineer to design, deploy, and operate Kubernetes-based hosting platforms across edge and embedded systems. Youll play a critical role in ensuring our platform is secure, scalable, and resilientsupporting multi-tenant services and orchestrating workloads across aircraft and ground-based environments. This is a high-impact role for engineers who thrive in cloud-native ecosystems and are passionate about automation, security, and performance optimization. Experience in the telecom domain and networking is a strong plus. \\\\Your role\\\\ \\+ Develop and maintain custom Kubernetes controllers, CRDs, and operators to extend platform capabilities. \\+ Integrate Kubernetes with Linux-based infrastructure bootstrapped via PXE, OTA, and other provisioning methods. \\+ Deploy and configure K3s clusters across heterogeneous hardware (bare metal, ARM/x86 nodes, and accelerators). \\+ Automate cluster provisioning, node registration, and upgrade workflows. \\+ Monitor platform health using Prometheus, Grafana, and Kubernetes Events. \\+ Enforce network policies, RBAC, secrets management, and container security best practices. \\+ Optimize Kubernetes performance on constrained hardware and air-gapped systems. \\+ Troubleshoot container runtimes, DNS resolution, and overlay networking (e.g., Calico, Flannel). \\\\Your Skills and Experience\\\\ \\+ 5+ years of experience managing Kubernetes platform components and lifecycle operations. \\+ Understanding of multi-node hybrid clusters across x86, ARM, and accelerators. \\+ Proficiency with Helm charts and Argo CD for application and platform deployment. \\+ Strong skills in Go, Bash scripting, YAML/JSON configuration, and REST API development. \\+ Deep understanding of Kubernetes CNI plugins and network policy management. The base compensation range for this role in the posted location is: $76,200-$187,740. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. \\\\Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.\\\\ In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: \\+ Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave \\+ Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) \\+ Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) \\+ Life and disability insurance \\+ Employee assistance programs \\+ Other benefits as provided by local policy and eligibility \\\\Important Notice:\\\\ Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgeminis discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. \\\\Disclaimers\\\\ Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. 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. Ref. code: 442735 Posted on: Mar 24, 2026 Experience Level: Experienced Professionals Contract Type: Permanent Location: Atlanta, GA, US Brand: Capgemini Engineering Professional Community: Products & Systems Engineering Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

The role requires 5+ years of experience managing Kubernetes platform components and lifecycle operations. A strong understanding of multi-node hybrid clusters across x86, ARM, and accelerators is necessary. Proficiency with Helm charts and Argo CD for application and platform deployment is expected. The position also requires strong skills in Go, Bash scripting, YAML/JSON configuration, and REST API development. A deep understanding of Kubernetes CNI plugins and network policy management is essential.