Role OverviewWe are seeking a Sr. Kubernetes Administrator with a strong background in automation, infrastructure-as-code, and cloud-native technologies. The ideal candidate will be responsible for managing, scaling, and optimizing Kubernetes clusters while implementing automation frameworks to reduce manual effort and improve system reliability. As a member of the Test and Engineering Infrastructure team, this role is critical in ensuring our containerized workloads run securely, efficiently, and consistently across environments.
Key Responsibilities - Cluster Management: Deploy, configure, upgrade, and maintain Kubernetes clusters across on-prem and cloud environments.
- Automation & Infrastructure as Code (IaC): Design and implement automated workflows for provisioning, scaling, and monitoring using tools like Terraform, Ansible, Helm, or FluxCD.
- Monitoring & Observability: Implement and maintain logging, monitoring, and alerting solutions (e.g., Prometheus, Grafana, EFK stack).
- Security & Compliance: Apply best practices for cluster security, RBAC, secrets management/SOPS-encrypted secrets, and vulnerability scanning.
- CI/CD Integration: Collaborate with DevOps and development teams to optimize Kubernetes for continuous delivery pipelines.
- Performance Optimization: Proactively monitor resource utilization, troubleshoot bottlenecks, and ensure high availability and disaster recovery.
- Documentation & Knowledge Sharing: Maintain clear operational documentation and mentor team members on Kubernetes best practices.
Required Qualifications - 7-10 years of software development and/or *nix Administration experience with 3+ years of hands-on experience managing Kubernetes clusters in production.
- Strong background in automation and scripting (Python, Go, or Bash).
- On-prem and cloud OS administration experience to include but not be limited to Talos, Ubuntu and Debian.
- Expertise with IaC tools such as Terraform, Ansible, or Pulumi.
- Practical experience with container orchestration and packaging (Docker, Helm, and/or Kustomize).
- Solid knowledge of CI/CD pipelines (Jenkins, GitLab CI, and/or GitHub Actions).
- Proficiency in cloud platforms (AWS, GCP, or Azure).
- Strong understanding of networking, load balancing, and ingress controllers in Kubernetes.
- Debugging of large, multi-layered systems, including network troubleshooting, application tracing, alerting systems, and logging from both hardware and software sources
- Excellent problem-solving, troubleshooting, and analytical skills.
Preferred Qualifications- CKA/CKAD/CKS certification.
- Experience with service mesh technologies (Istio, Linkerd).
- Familiarity with policy enforcement frameworks (OPA/Gatekeeper, Kyverno).
- Background in GitOps practices.
- Experience supporting hybrid systems involving embedded devices, custom hardware, or real-time control systems.
- Knowledge of secure software deployment in mixed cloud/on-prem environments.
- Experience with hardware-in-the-loop pipelines or distributed lab/test automation environments.
- Exposure to scientific computing, HPC, or quantum software stacks a plus.
- Creation of container images from base images (especially Debian and Ubuntu)
- Ability to thrive in fast-moving, interdisciplinary R&D teams.
- Network and Element Management/Application implementation experience.
Salary range is $180,000-$220,000. We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.
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