Senior Staff Software Engineer (K8s)

Number of employees

780

San Francisco, CA - US, United States

Posted on: 2025-09-24

Category: energy

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Employment type:

Full time

Experience required:

Senior

Salary

Salary not provided

About the company:

Crusoe is the industry’s first vertically integrated, purpose-built AI cloud platform. The company is redefining AI cloud infrastructure and its platform is recognized as the "gold standard" among builders for its reliability and performance in developing, training, and deploying AI models. Powered by clean, renewable energy, Crusoe aligns the future of computing with the future of the climate. Leading Fortune 500 companies trust Crusoe’s advanced, AI-optimized cloud to support their most demanding AI applications.

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

About This Role:

We are looking for a highly skilled engineer with deep experience running Kubernetes at scale on bare metal. You will help design, build, and operate Crusoe’s next-generation Kubernetes platform across global datacenters, ensuring performance, reliability, and automation at every layer of the stack.

What You’ll Be Working On:

  • Designing, building, and operating Kubernetes clusters on bare metal at scale

  • Engineering full cluster lifecycle management (Talos bootstrapping, upgrades, node reprovisioning, HA control planes, recovery workflows)

  • Architecting networking, load balancing, and service mesh solutions optimized for bare metal

  • Implementing performant CNIs (Calico, Cilium), integrating L2/L3 networking, routing (BGP/ECMP), and optimizing traffic across racks and datacenters

  • Automating provisioning via PXE/iPXE, Tinkerbell, MAAS, and managing BMCs/IPMI/Redfish with standardized BIOS/firmware across heterogeneous hardware fleets

  • Designing and operating persistent storage (local disks, block, object) including Ceph, Rook, and openEBS

  • Building automation and tooling (Go, Python, Bash) for provisioning, drift detection, upgrades, and incident response

  • Extending observability with Prometheus, Alertmanager, Grafana, OpenTelemetry, and defining SLOs for cluster health, latency, and workload availability

  • Implementing security best practices: Vault, cert-manager, RBAC hardening, network policies, and OS/K8s patch pipelines

  • Mentoring engineers and shaping technical direction for Crusoe’s Kubernetes platform

What You’ll Bring to the Team:

  • 10+ years in infrastructure engineering, including 3+ years operating Kubernetes in production

  • Expert-level knowledge of Linux internals (cgroups, namespaces, kernel networking)

  • Deep experience with CNIs (Cilium, Calico), load balancers (Envoy, HAProxy, F5), and L3 networking (BGP, ECMP)

  • Strong programming skills in Go for building operators, controllers, and automation tooling

  • Hands-on experience with distributed storage systems (Ceph, MinIO, Rook, CSI drivers)

  • Strong background in observability (Prometheus, Alertmanager, metrics autoscaling, logging/ELK)

  • Familiarity with PKI, identity, and secrets management (Vault, cert-manager)

  • Excellent debugging skills for complex distributed systems

  • Strong communication and collaboration across cross-functional teams

Bonus Points:

  • Strong experience running Kubernetes on bare metal (not just managed services)

  • Proven track record provisioning and operating physical servers at scale (PXE/iPXE, Tinkerbell, MAAS, BMC/IPMI automation)

  • Experience with hardware fleet management across multiple datacenters

  • Contributions to open source Kubernetes or related ecosystem projects

  • Experience implementing disaster recovery strategies at scale

  • Familiarity with GPUs, HPC clusters, or large-scale AI/ML workloads

Benefits:

  • Industry competitive pay

  • Restricted Stock Units in a fast growing, well-funded technology company

  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

  • Employer contributions to HSA accounts

  • Paid Parental Leave

  • Paid life insurance, short-term and long-term disability

  • Teladoc

  • 401(k) with a 100% match up to 4% of salary

  • Generous paid time off and holiday schedule

  • Cell phone reimbursement

  • Tuition reimbursement

  • Subscription to the Calm app

  • MetLife Legal

  • Company paid commuter benefit; $300 per month

Compensation:

Compensation will be paid in the range of $233,000 - $282,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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