Key Responsibilities
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Deploy, configure, and maintain HPC clusters using Slurm
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Manage GPU compute infrastructure, including CUDA and/or ROCm environments
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Support high-speed interconnects and parallel storage systems
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Design, implement, and maintain CI/CD pipelines (Buildkite, GitHub Actions, Jenkins)
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Automate infrastructure using Ansible, Terraform, Python, and Bash
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Deploy and manage containerized workloads with Docker, Kubernetes, and Helm
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Monitor system performance and reliability using Prometheus, Grafana, and Checkmk
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Troubleshoot Linux, networking, and distributed systems issues
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Collaborate with engineering and DevOps teams to improve workflows and document best practices
Required Skills & Qualifications
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Strong experience with Linux system administration
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Hands-on expertise with Slurm or similar HPC workload schedulers
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Proficiency in DevOps tools and CI/CD pipelines
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Experience with GPU computing environments (CUDA/ROCm)
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Solid scripting skills in Python and Bash
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Experience with Docker, Kubernetes, and Helm
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Knowledge of monitoring, logging, and observability tools
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Strong analytical, troubleshooting, and communication skills
Preferred Qualifications
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Experience managing large-scale HPC clusters
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Background in Site Reliability Engineering (SRE) or platform engineering
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Familiarity with cloud-native infrastructure and hybrid environments
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Experience with performance optimization and workload tuning
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Agile development and cross-functional collaboration experience
Education & Experience
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Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
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Multiple years of industry experience in HPC, DevOps, Linux systems, or infrastructure engineering