Senior Automation Engineer, Compute

Highlights

• Automate deployment and testing of large-scale multi-node GPU clusters.
• Orchestrate canary and Blue/Green deployments on live production systems.
• Validate linear scaling and stability of GPU workloads at massive scale.

What they offer

• Restricted Stock Units and bonus
• Paid time off, paid holidays and leave programs
• Comprehensive health, dental and vision insurance
• Employer contributions to HSA account
• Paid parental leave
• Paid life insurance, short-term and long-term disability
• Professional development and tuition reimbursement
• Mental health and wellness support
• Commuter benefits, cell phone stipend and daily meals allowance
• 401(k) retirement plan with company match up to 4%
• Volunteer time off and global travel insurance

Ideal candidate

Problem-solving builder with 5+ years in cloud infrastructure who thrives on ambiguity, moves with urgency, and cares about reliable large-scale systems powering AI workloads.

Requirements

• 5+ YOE plus Bachelor's or Master's in Computer Science, Electrical Engineering or related field
• Experience building automated integration testing from low-level Linux systems to distributed control planes
• Proven track record designing and deploying microservice applications end to end in distributed cloud
• Strong understanding of IaaS abstraction of compute, network and storage resources
• Working knowledge of Kubernetes, Docker, Terraform and Postgres
• Intimate knowledge of CI/CD pipelines and Gitlab tooling
• Previous experience with Ansible, Puppet, Chef or SaltStack
• Knowledge of Linux kernel internals including PCIe topology, VFIO, HugePages and IOMMU