Senior HPC Infrastructure & Systems Engineer

Westbury Partners

Sydney

On-site

AUD 150,000 - 210,000

Full time

32 hours ago
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Job summary

Westbury Partners in Sydney, NSW seeks an engineer to design and optimize large-scale HPC infrastructure across compute, storage, networking and Linux environments. You will develop tooling and distributed systems that enable reliable, high-performance quantitative research, collaborating with researchers and production teams.

You have 5+ years of HPC and Linux administration, strong Go, Python or C, and experience with distributed systems, profiling, and configuration management.

Qualifications

  • 5+ years of HPC experience and Linux systems administration.
  • Strong programming or scripting skills in Go, Python, or C.
  • Experience with distributed, interdependent systems and performance profiling.

Responsibilities

  • Design and maintain high-performance compute and storage infrastructure.
  • Optimize systems, networks, and storage for maximum performance.
  • Build monitoring and fault-detection solutions across infrastructure.
  • Develop tooling for software deployment and upgrades at scale.
  • Collaborate with researchers to optimize HPC workloads.
  • Support global infrastructure projects and production environments.
  • Build and maintain distributed HPC systems and parallel filesystems.
  • Develop software and automation using Go, Python, or C.
  • Profile, debug, and optimize application and infrastructure performance.
  • Implement configuration management and scalable deployment solutions; conduct root cause analysis.

Skills

Go
Python
C
Linux
HPC
Debugging
Profiling
Performance optimization
Root cause analysis

Tools

Ansible
Puppet
SaltStack

Job description

Westbury Partners – Sydney NSW

Full time

14d ago , from E-Financial Careers Australia

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:
  • Design and maintain high-performance compute and storage infrastructure.
  • Optimize systems, networks, and storage for maximum performance.
  • Build monitoring and fault-detection solutions across infrastructure.
  • Develop tooling for software deployment and upgrades at scale.
  • Collaborate with researchers to optimize HPC workloads.
  • Support global infrastructure projects and production environments.
Your responsibilities will include:
  • Build and maintain distributed HPC systems and parallel filesystems.
  • Develop software and automation using languages such as Go, Python, or C.
  • Profile, debug, and optimize application and infrastructure performance.
  • Implement configuration management and scalable deployment solutions.Conduct root cause analysis across complex system failures.
  • Participate in coordinated maintenance and operational support.
  • Collaborate with technology teams, researchers, and external vendors.
  • Develop comprehensive systems and user documentation.
Why Join Us:
  • Work with sophisticated, globally distributed HPC infrastructure.
  • Solve challenging performance and reliability problems at scale.
  • Collaborate directly with quantitative researchers and technology specialists.
  • Work across compute, networking, storage, and software engineering.
  • Contribute to global infrastructure projects with significant technical scope.
  • Gain exposure to highly customized production computing environments.
About You:
  • 5+ years of professional HPC experience.
  • 5+ years of Linux systems administration experience.
  • Strong programming or scripting skills in Go, Python, C, or similar.
  • Experience with complex, distributed, interdependent systems.
  • Strong debugging, profiling, and performance optimization capabilities.
  • Experience with configuration management tools such as Ansible, Puppet, or SaltStack.
  • Familiarity with parallel filesystems and batch scheduling systems.
  • Strong analytical mindset and commitment to root cause analysis.
  • Reliable, hands-on, and comfortable supporting production environments.
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