Senior DevOps Engineer (HPC)

We are seeking a Senior DevOps Engineer to enhance our high-performance computing services and collaborate closely with the scientific community to optimize research computing.

Join our team to build and operate cutting-edge HPC capabilities using automation and infrastructure-as-code. Apply now to contribute to innovative computational solutions in a dynamic environment.

Responsibilities

• Design, implement, and maintain robust platform infrastructure using Infrastructure as Code tools such as Terraform
• Develop, deliver, and operate research computing services and applications
• Apply Site Reliability Engineering principles to manage HPC service deployment, monitoring, and incident response
• Solve complex technical problems related to HPC services and user applications
• Manage large-scale HPC, HTC, or BC computing environments for optimal performance
• Collaborate with scientific users to tailor HPC resources to research needs
• Automate deployment processes to ensure consistency across HPC infrastructure
• Maintain and administer large-scale cluster and server computing software such as Slurm, LSF, or Grid Engine
• Develop and maintain monitoring dashboards using tools like Grafana and Prometheus
• Work within a DevOps team environment following agile methodologies
• Operate and utilize virtualized private cloud resources such as OpenStack
• Administer large-scale parallel filesystems including Weka, GPFS, or Lustre
• Use configuration management tools like Ansible, Salt, or Puppet to manage IT operations
• Develop scripts and tools for HPC and DevOps platform operations using Bash and Python

Requirements

• 3+ years of experience with DevOps processes and automation using Infrastructure as Code tools such as Terraform
• Hands-on experience operating or engineering large-scale HPC or similar computing environments
• Proven expertise in Linux system administration including TCP/IP networking and storage subsystems
• Experience administering large-scale cluster management software such as Slurm, LSF, or Grid Engine
• Knowledge of configuration management tools like Ansible, Salt, or Puppet
• Experience working in agile DevOps teams
• Ability to develop and maintain monitoring tools such as Grafana and Prometheus
• Experience with scripting languages such as Bash and Python for automation and tool development
• Strong experience managing virtualized private cloud environments like OpenStack
• Scientific degree or equivalent experience in computationally intensive scientific data analysis
• Proven ability to manage relationships with third-party suppliers
• Upper-intermediate proficiency in English (B2+)

Nice to have

• Experience with container technologies such as LXD, Singularity, Docker, or Kubernetes
• Operation and configuration experience with public cloud platforms like AWS, Azure, or GCP
• Experience with HashiCorp tools such as Vault, Consul, and Nomad
• Development experience with programming languages such as Java, C++, Python, Ruby, or Perl
• Experience with parallel filesystems like Weka, GPFS, or Lustre