Key skills
AnsibleAWSAzureCloudDistributed SystemsDNSGoogle Cloud PlatformLinuxPythonTerraformGoBashMLGCPGoogle CloudLambdaCI/CD
About this role
Role Overview
- Ensure the reliability, scalability, and performance of HPC and cloud systems
- Build and maintain automation, observability, and monitoring frameworks for compute clusters
- Collaborate with ML, data, and infrastructure teams to deliver high-availability systems
- Develop and enhance CI/CD pipelines, deployment workflows, and on-call processes
- Participate in architecture design and long-term infrastructure strategy discussions
- Participate in a 24/7 on-call rotation, with at least one full on-call week per month.
Requirements
- 7+ years in SRE, DevOps, or Infrastructure Engineering—preferably in HPC or large-scale distributed systems
- Linux expertise (Ubuntu or Debian preferred)
- Strong experience with scripting and automation (Python, Go, Bash)
- Proven ability with cloud platforms (AWS, GCP, Azure, or modern HPC providers such as CoreWeave, Lambda, Nebius)
- Deep understanding of networking (DNS/TCP) and infrastructure-as-code tools (Terraform, Ansible)
- Experience managing Slurm-based HPC GPU clusters, diagnosing performance issues, and designing efficient HPC jobs.
Tech Stack
- Ansible
- AWS
- Azure
- Cloud
- Distributed Systems
- DNS
- Google Cloud Platform
- Linux
- Python
- Terraform
- Go
Benefits
- Generous cash + equity compensation
- Various fringe benefits (e.g., healthcare, lunch, wellbeing, etc.)