Kubernetes Network Development Engineer
Listed on 2025-12-21
-
IT/Tech
Systems Engineer -
Engineering
Systems Engineer
Capgemini Engineering provided pay range
This range is provided by Capgemini Engineering. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
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Talent Acquisition Manager at Capgemini EngineeringJob Location:
Hillsboro, Oregon (Hybrid)
The Kubernetes Network developing Engineer will focus on networking for K3s clusters deployed across hybrid architectures (x86, ARM, accelerators). The role involves designing, implementing, and maintaining cluster networking that integrates with external systems. This includes writing Kubernetes controllers, managing IP address allocation, configuring VLANs outside of K3s and exposing them inside, extending networking with Multus CNI, and ensuring clusters support advanced CNI (Cilium/Calico) and bare-metal load balancing.
The engineer ensures application and infrastructure networking is reliable, scalable, and secure.
- Architect and implement networking for hybrid K3s clusters.
- Configure and optimize CNIs (Multus, Cilium, Calico) for multi-network scenarios.
- Enable VLAN-backed networks, SR-IOV, and multi-interface workloads.
- Deploy and manage bare-metal load balancers (Metal
LB, BGP). - Build custom Kubernetes controllers/operators in Go for declarative networking.
- Automate IPAM, DNS integration, and network provisioning across hybrid environments.
- Ensure seamless Git Ops integration with CRDs and controllers.
- Implement network policies, encryption, and observability (Cilium Hubble, Prometheus).
- Collaborate with Dev Ops, SRE, and hardware teams to align with platform needs.
- Document architecture, runbooks, and provide internal knowledge transfer.
- Deep expertise in Kubernetes/K3s networking and CNIs.
- Hands‑on experience with Multus, Cilium, Calico, and Metal
LB. - Proficiency in Linux networking (netlink, iproute2, eBPF).
- Experience with IPAM, VLAN bridging, DHCP/DNS integration.
- Security‑first mindset: RBAC, network policies, encryption.
- Familiarity with service mesh (Istio, Linkerd) and high‑performance networking (SR‑IOV, DPDK).
- Contributions to Kubernetes networking or CNI projects.
- Flexible work
- Healthcare including dental, vision, mental health, and well‑being programs
- Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well‑being benefits like subsidized back‑up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting‑edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.
Capgemini Engineering is an integral part of the Capgemini Group, 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…
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