Senior Automation Engineer, Compute

What you'll do

• Develop deployment and integration testing systems for bare-metal infrastructure and build CI/CD tooling for reliable releases.
• Design large-scale validation tests for multi-node virtualized clusters and automate provisioning, configuration, and stress testing.
• Orchestrate production canary and Blue/Green deployments with automated rollback; maintain Linux configuration and observability tooling.

What they ask for

• 5+ years of experience and a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
• Experience building and deploying automated integration testing, from low-level Linux systems to distributed control planes.
• Track record designing and deploying end-to-end microservices in a distributed cloud environment; understanding of IaaS compute, networking, and storage.
• Working knowledge of Kubernetes, Docker, Terraform, Postgres, Gitlab CI/CD, at least 1–2 configuration management systems, and Linux kernel internals including PCIe topology, VFIO, HugePages, and IOMMU.

Nice to have

• Familiarity with NVIDIA CUDA/NCCL and/or AMD ROCm/RCCL, RDMA, RoCE, InfiniBand, or MNNVL.
• Familiarity with hardware debugging and performance profiling tools such as NVIDIA Nsight or AMD Omniperf, or GPU device plugins for Kubernetes.

Pay

up to $170,000 -$205,000 USD base salary; Bonus amount not stated

Tools

Linux, Gitlab, Ansible, Python, Go, Kubernetes, Docker, Terraform

AI focus

Supports AI Cloud infrastructure by deploying and validating multi-node GPU clusters and GPU workloads.