Crusoe
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. 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:
Architect, implement, and operate scalable and reliable Kubernetes clusters with automated lifecycle management Develop and automate tests to ensure the quality and stability of the cluster, and to proactively identify and resolve potential hardware or software issues Architect and implement, operate Kubernetes networking including CNI and service mesh Identify gaps and develop internal tools, APIs, and command-line interfaces (CLIs) that enable customers to deploy and effectively monitor internal services Establish observability best practices using Prometheus, Grafana, and OpenTelemetry to ensure cluster and control plane reliability Implement security best practices by utilizing Kubernetes RBAC, security, and network policies Mentor engineers and shaping technical direction for Crusoe's Kubernetes platform What You'll Bring to the Team:
7+ years in infrastructure engineering, including 3+ years operating Medium to Large size Kubernetes Clusters in production Strong background in Kubernetes internals and best practices Extensive experience in Kubernetes cluster bootstrapping and lifecycle management Deep knowledge of Kubernetes networking - CNIs, load balancers, service mesh Experience with Linux kernel and container runtime Experience with Kubernetes observability Experience with PKI, identity, and secrets management Experience with infrastructure-as-code tools Strong programming skills in Go for building operators, and automation tooling Excellent debugging skills for complex distributed systems Strong communication and collaboration across cross-functional teams Bonus Points:
Extensive experience in managing large-scale Kubernetes clusters Contributions to open source Kubernetes or related ecosystem projects 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 $166,000 - $201,000 + 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.
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. 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:
Architect, implement, and operate scalable and reliable Kubernetes clusters with automated lifecycle management Develop and automate tests to ensure the quality and stability of the cluster, and to proactively identify and resolve potential hardware or software issues Architect and implement, operate Kubernetes networking including CNI and service mesh Identify gaps and develop internal tools, APIs, and command-line interfaces (CLIs) that enable customers to deploy and effectively monitor internal services Establish observability best practices using Prometheus, Grafana, and OpenTelemetry to ensure cluster and control plane reliability Implement security best practices by utilizing Kubernetes RBAC, security, and network policies Mentor engineers and shaping technical direction for Crusoe's Kubernetes platform What You'll Bring to the Team:
7+ years in infrastructure engineering, including 3+ years operating Medium to Large size Kubernetes Clusters in production Strong background in Kubernetes internals and best practices Extensive experience in Kubernetes cluster bootstrapping and lifecycle management Deep knowledge of Kubernetes networking - CNIs, load balancers, service mesh Experience with Linux kernel and container runtime Experience with Kubernetes observability Experience with PKI, identity, and secrets management Experience with infrastructure-as-code tools Strong programming skills in Go for building operators, and automation tooling Excellent debugging skills for complex distributed systems Strong communication and collaboration across cross-functional teams Bonus Points:
Extensive experience in managing large-scale Kubernetes clusters Contributions to open source Kubernetes or related ecosystem projects 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 $166,000 - $201,000 + 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.