DevOps Engineer II

Job summary

Designs, builds, and operates hybrid cloud and on-premises high-performance computing infrastructure for seismic imaging and data processing. Responsibilities include supporting Linux-based HPC systems and Slurm scheduling, developing Kubernetes platforms and CI/CD pipelines, automating infrastructure with Terraform and Ansible, and improving reliability through observability, incident response, and AI-assisted engineering. The role also supports AWS infrastructure, production on-call operations, and collaboration across HPC, IT, and research teams.

Qualifications

• Three to five years of experience in DevOps, cloud engineering, SRE, HPC, or a related technical role.
• Production Linux administration experience with Rocky Linux 8 or RHEL and strong Bash scripting.
• Experience with Slurm or an equivalent HPC workload scheduler.
• Hands-on experience with a major public cloud; AWS preferred, with Azure or GCP considered.
• Experience with Ansible configuration management.
• Experience with Kubernetes and a container runtime such as Docker, Podman, or containerd.
• Experience building and maintaining CI/CD pipelines.
• Experience with Terraform infrastructure-as-code.
• Strong troubleshooting, analytical, and problem-solving skills.
• Good communication, collaboration, and documentation skills.
• Availability to participate in a shared on-call and escalation rotation.

Responsibilities

• Design, integrate, maintain, and support cloud and containerized architecture.
• Implement cloud, container, and Kubernetes strategies across IT and HPC environments.
• Collaborate with HPC, IT, and business teams to deliver on-premises and cloud HPC solutions.
• Automate, optimize, troubleshoot, and resolve system issues.
• Support HPC visualization, compute, storage, interconnect, software, and systems management environments.
• Use debugging tools to isolate problems and perform software builds, upgrades, and patches.
• Build and maintain CI/CD pipelines and infrastructure-as-code.
• Use approved AI tools to support automation, coding, troubleshooting, and documentation, validating outputs for quality and security.
• Apply SRE practices, including observability, SLI/SLOs, monitoring, incident response, and root-cause analysis.
• Provide escalation support for production HPC and cloud infrastructure through a shared on-call rotation.
• Share HPC software development knowledge and support junior engineers.
• Build and pin machine images and manage EC2 launch templates for rolling host and fleet replacements.

Skills

Certifications

Degrees

Work schedule

Industry

Relocation