Sr. Kubernetes Engineer

About the Role SpaceX is looking for an experienced engineer with deep working knowledge of Kubernetes and related containerized technologies. This employee will be a member of the Information Technology Linux Infrastructure team and will provide expertise in Kubernetes design, maintenance, scaling, and optimization in support of critical business functions. Responsibilities Build, install, manage, scale, and optimize Kubernetes and RKE clusters using Ansible, Terraform, and adjacent technologies in production environments. Work closely with other SpaceX engineers to gather requirements, research, evaluate, design, plan, deploy, and support software platforms and related technologies running in Kubernetes within a world‑class environment that meets the needs of the demanding SpaceX engineering teams. Build highly resilient, high‑performance, scalable, and robust systems. Exercise a high degree of personal responsibility for the processes, systems, and tools you create and manage; all supporting the goal of making humanity an interplanetary species. Make recommendations, justify, and implement improvements using an accepted change control methodology. Work within a diverse group to design and deliver creative solutions and resolve problems in a timely and proactive manner by interacting with internal business units. Define, document, and follow standards and best practices for systems design, testing, and implementation. Foster an environment of collaboration and cross‑training, upskilling the team in Kubernetes expertise and ensuring peers are developed into capable engineers. Drive scripting, self‑service, and automation to develop solutions to reduce administrative overhead and TOIL. Participate in on‑call rotation to handle urgent after‑hours work when necessary. Basic Qualifications Bachelor’s degree in Computer Science or a STEM discipline and 5+ years of systems engineering experience; OR 7+ years of systems engineering experience in lieu of a degree. Experience deploying and supporting Linux servers in physical and virtualized environments (e.g., VMware via automation). Experience with the Linux shell as well as configuring and extending Linux instances (e.g., kernel modules, cgroups, pki, iptables, interfaces). Experience supporting and scaling containerized applications in Linux environments. Experience using automation frameworks (e.g., Ansible, Terraform) to manage provisioning and post‑provisioning lifecycles of infrastructure and Kubernetes installations. Preferred Skills and Experience Expertise in creating repeatable, reliable, scalable systems architectures, with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection. Expertise in source code version control tools such as Git and Subversion and collaborating on source code via pull requests and other Git‑based workflows. Strong understanding of Linux Container Runtime. Experience implementing configuration management provisioning and workflow automation solutions via Infrastructure as Code, CI/CD, and GitOps (e.g., Ansible, AWX/Tower, Vagrant, Puppet, Redfish, Jenkins, cloud‑init, ArgoCD, etc). Experience writing test automation to ensure backwards compatibility of feature and change development for automation processes and Kubernetes deployments. Experience with programming and scripting languages such as Python and Golang to develop software solutions and integrate with external systems to implement automation against RESTful API services. Experience installing, configuring, and troubleshooting Kubernetes internals, CNI, CRI, and CSI plugins (e.g., Docker, Cri‑O, Ceph, Cilium), load balancing (e.g., MetalLB), Service Mesh (e.g., Istio), and software‑defined storage (e.g., rook‑ceph) in cloud or on‑premise environments. Experience developing solutions using Kubernetes patterns to extend system functionality and solve custom use cases (e.g., webhooks, controllers, operators, sidecars). Experience implementing proactive alert/monitoring workflows and dashboards for Linux systems and Kubernetes deployments using Prometheus, Grafana, InfluxDB, or similar technologies. Experience with dynamic system configuration templating using Jinja, Jsonnet, YAML, and Helm. Additional Requirements Must be willing to work extended hours and weekends as needed. Ability to pass Air Force background check for Cape Canaveral. To conform to U.S. Government export regulations, applicant must be a U.S. citizen or national, U.S. lawful permanent resident (green card holder), refugee under 8 U.S.C. § 1157, or asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity Employer SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. For EEO compliance inquiries, please contact View email address on click.appcast.io. #J-18808-Ljbffr SPACE EXPLORATION TECHNOLOGIES CORP