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DevOps Cloud Engineer

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Realta Fusion Inc.

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Location:
United States , Madison

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking a DevOps Cloud Engineer to help design, deploy, and maintain our multi-cloud, high-performance computing (HPC) infrastructure. This role will collaborate closely with our managed service partner and our in-house scientific and engineering teams to establish and manage our cloud-based compute environment. Over time, this engineer will assume full ownership of our cloud operations, automation pipelines, and HPC cluster management.

Job Responsibility:

  • Work alongside our managed service provider to deploy and configure Realta Fusion’s HPC cluster in modern cloud compute environments using scalable virtual networks, compute instances, and object-storage services
  • Support and manage secure cloud compute infrastructure for export-controlled projects, ensuring compliance and data protection
  • Automate provisioning and scaling of HPC resources using Infrastructure-as-Code tools (e.g., Terraform, CloudFormation, etc.)
  • Manage and monitor performance of compute clusters, virtual machines, and storage solutions
  • Develop and maintain CI/CD pipelines to support simulation software builds and deployments
  • Implement identity management, security controls, and role-based access across cloud environments
  • Install, configure and maintain key simulation software such as SolidWorks, ANSYS, OpenMC, and related dependencies
  • Collaborate with scientists and engineers to optimize workloads for cloud-based HPC environments
  • Build observability tools for resource usage, cost management, and job scheduling
  • Integrate with container orchestration platforms (e.g., Kubernetes, AWS Batch, Slurm) for simulation jobs
  • Work with Business Ops Manager and Engineering teams to maintain export control boundaries
  • Document infrastructure designs, network architecture, and operational procedures

Requirements:

  • 5+ years of experience in DevOps, Cloud Infrastructure, or Systems Engineering roles
  • Proven experience managing cloud-based compute environments using VPCs, EC2-like compute instances, S3-style object storage, and container orchestration platforms
  • Proficiency in scripting and automation (C/C++, Python, Bash, PowerShell, PHP/SQL)
  • Experience in managing JupyterHub or similar multi-user environments
  • Knowledge of HPC systems, parallel computing, and simulation software environments
  • Familiarity deploying and managing workloads across large-scale cloud environments with capabilities such as virtual networking, resource grouping, object/blob storage, and identity management services
  • Exposure to IaC tools such as Terraform, Ansible, or CloudFormation
  • Understanding of networking, VPNs, and secure data exchange between cloud and on-prem environments

Nice to have:

  • Experience working with export-controlled or regulated data environments
  • Familiarity with CAD/CAE software support (SolidWorks, ANSYS)
  • Knowledge of container orchestration, CI/CD, and HPC schedulers (Slurm, PBS, etc.)
What we offer:
  • Competitive compensation package, including equity stock options
  • Comprehensive benefits including health, dental, and vision insurance, plus a retirement savings plan
  • Flexible paid time off (PTO) to support work-life balance

Additional Information:

Job Posted:
December 11, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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