Infrastructure Engineer

At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing.   Atom Computing is seeking an Infrastructure Engineer to enhance our software development workflows and maintain the critical infrastructure that powers our quantum computer. In this role, you’ll work across the entire stack, enabling engineers and physicists to seamlessly deploy software and operate the system with reliability and efficiency. Our environment combines both on-premises and cloud infrastructure, requiring innovative approaches to managing and scaling each. You'll collaborate closely with a talented, tight-knit team of engineers and physicists, reporting to the Software Engineering Manager.   Due to the mix of on-prem and cloud infrastructure, this role is required to be in the office in Boulder at least 3 days per week. 

Job Responsibilities:

• Administer and maintain a fleet of on-premise Linux servers (and a few Windows VMs) to ensure reliable and performant operation of the quantum computing environment.
• Design and implement automated workflows for managing and scaling cloud and on-premise infrastructure.
• Build and optimize monitoring, alerting, and performance metrics systems to support both development and production environments.
• Collaborate with engineering teams to streamline CI/CD pipelines and improve deployment efficiency.

Experience & Education

• BS or MS in Computer Science, Computer Engineering, or equivalent on-the-job experience.
• 5+ years of post-degree professional experience maintaining large scale distributed systems.

Qualifications

• Strong understanding of cloud deployment and infrastructure management using Azure, AWS or GCP.
• Experience with on-premise hardware services, including virtualization and containerization management solutions such as Proxmox VE, Docker and Podman.
• Solid knowledge of CI/CD pipelines using GitLab CI/CD or GitHub Actions.
• Ability to optimize and tune on-premise hardware for performance and low latency using tools such as perf, systemd-analyze, iostat, and tuning profiles.
• Proficiency in designing and implementing metrics, monitoring, and alerting pipelines using Datadog, Grafana, or other observability tools.
• Skilled in architecting infrastructure workflows with tools such as Terraform, Ansible, Helm, or Kubernetes.

Nice to Haves

• Building and scaling a developer operations team, including workflow automation, access management, and infrastructure-as-code practices.