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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
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