Engineer and optimize large-scale HPC infrastructure across compute, storage, networking, and Linux environments, developing software tooling and distributed systems that enable reliable, high-performance quantitative research.

What You'll Do:

1. Design and maintain high-performance compute and storage infrastructure.
2. Optimize systems, networks, and storage for maximum performance.
3. Build monitoring and fault-detection solutions across infrastructure.
4. Develop tooling for software deployment and upgrades at scale.
5. Collaborate with researchers to optimize HPC workloads.
6. Support global infrastructure projects and production environments.

Your responsibilities will include:

1. Manage complex Linux environments across large-scale infrastructure.
2. Build and maintain distributed HPC systems and parallel filesystems.
3. Develop software and automation using languages such as Go, Python, or C.
4. Profile, debug, and optimize application and infrastructure performance.
5. Implement configuration management and scalable deployment solutions.
6. Conduct root cause analysis across complex system failures.
7. Participate in coordinated maintenance and operational support.
8. Collaborate with technology teams, researchers, and external vendors.
9. Develop comprehensive systems and user documentation.

Why Join Us:

1. Work with sophisticated, globally distributed HPC infrastructure.
2. Solve challenging performance and reliability problems at scale.
3. Collaborate directly with quantitative researchers and technology specialists.
4. Work across compute, networking, storage, and software engineering.
5. Contribute to global infrastructure projects with significant technical scope.
6. Gain exposure to highly customized production computing environments.

About You:

1. 5+ years of professional HPC experience.
2. 5+ years of Linux systems administration experience.
3. Strong programming or scripting skills in Go, Python, C, or similar.
4. Experience with complex, distributed, interdependent systems.
5. Strong debugging, profiling, and performance optimization capabilities.
6. Experience with configuration management tools such as Ansible, Puppet, or SaltStack.
7. Familiarity with parallel filesystems and batch scheduling systems.
8. Strong analytical mindset and commitment to root cause analysis.
9. Reliable, hands-on, and comfortable supporting production environments.