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.
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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.
#J-18808-Ljbffr