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Jump Trading combines quantitative research and technology development to operate in financial markets.

Information about Jump Trading
Official domain
jumptrading.com
Open jobs
32

Job details

The full description published by Jump Trading.

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Description de l’offre

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns.

We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our global High Performance Computing Team is looking to add an HPC Systems Engineer in our London office. Our HPC Systems Engineers are responsible for building automation, maintaining, and troubleshooting Jump's global production systems, including one of the largest supercomputing grids in the world.

The scale of our computing environments provides unique challenges in providing good performance and reliability. Several systems including compute, scheduling, networks, and large-scale data storage must integrate seamlessly to support data pipelines and quantitative research.

The ideal candidate

would be a hands-on individual, highly skilled in the details and nuances of managing Linux environments with a strong software development background necessary to support uniquely customized systems at scale.

What You'll Do

  • Daily access to world-class, large-scale production systems as well as an unparalleled high-performance research "supercomputer"
  • Perform the functions of architect, engineer, and administrator
  • Design, implement, maintain, and support high performance compute and storage systems
  • Implement and support performance monitoring and fault monitoring systems
  • Monitor systems and storage performance, up to and including network components
  • Build tooling to compile, package, install, and upgrade software and operating system components at scale
  • Collaborate with team members and across teams to write code and testing infrastructures spanning both new and existing codebases in multiple programming languages
  • Develop and improve systems and user documentation
  • Participate in large, coordinated maintenance operations, including during evenings and weekends
  • Work on global projects across a wide range of infrastructure
  • Collaborate directly with researchers to optimize their use of HPC infrastructure
  • Develop and monitor the tools used to maintain a production computing environment
  • Provide operational support on a rotating basis and as needed
  • Manage relationships with outside vendors, including traveling both domestically and internationally to meet with current and potential vendors
  • Adhere to all company cybersecurity and IT policies, including performing all work using only approved hardware and software
  • Other duties as assigned or needed Skills You'll Need:
  • 5+ years of professional experience in high performance computing (HPC), including parallel filesystems (e.g., Lustre, GPFS), batch systems (e.g., Slurm, Grid Engine), and high-performance network interconnects experience is a plus, but not required
  • 5+ years of experience with Linux systems administration
  • High proficiency with at least one programming/scripting language (e.g., Go, Python, C)
  • Extensive experience designing, building, and maintaining complicated, interdependent, and distributed systems
  • Extensive experience profiling and debugging application stacks (debuggers and profilers)
  • Experience with system configuration management tools (SaltStack, Ansible, Puppet, etc.)
  • A compulsion to perform root cause analysis
  • Reliable and predictable availability

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