HPC Platform Engineer Linux - Trading

Client Server

Greater London

Hybrid

GBP 117,000 - 143,000

Full time

14 days+
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Benefits offered by this job

Salary up to £130k
Pension
25 days holiday
Opportunity to work on Greenfield systems
Continual learning and development opportunities

Job summary

A global systematic trading firm is seeking an HPC Platform Engineer to develop and optimize workload scheduling solutions in HPC environments. You will work on both on-premise and cloud (AWS) platforms, collaborating with teams to enhance performance and resilience of compute infrastructures. Ideal candidates will have a strong background in Linux and HPC schedulers. Salary up to £130k with attractive benefits including bonus potential. Join a team at the cutting edge of technology in London.

Qualifications

  • Experience engineering and supporting HPC schedulers such as YellowDog.
  • Deep knowledge of Linux required.
  • Experience with large-scale systems with 5000+ nodes and 100k+ tasks.
  • Knowledge of AWS IAM and identity providers like Okta.

Responsibilities

  • Develop and support scalable workload scheduling solutions for HPC environments.
  • Collaborate with internal teams to optimize HPC platforms.
  • Contribute to continuous improvement initiatives and automate processes.

Skills

Experience with HPC schedulers (e.g., YellowDog, Ray, Slurm, IBM Symphony)
Deep knowledge of Linux
Understanding of loosely and tightly coupled HPC workloads
Experience with large-scale systems
Monitoring and visualization of large-scale systems
Performance tuning of compute, network and storage
Knowledge of AWS cloud services
Automation and coding in Python
Strong analysis and problem-solving skills
Collaborative and pragmatic communication skills

Education

Degree in relevant discipline (MSc/PhD level likely)

Job description

HPC Platform Engineer (Linux) London to £130k

Do you have a deep knowledge of Linux combined with HPC scheduling experience?

You could be progressing your career in a hands‑on role at a global systematic trading firm with $25 billion under management, earning significant bonuses.

Responsibilities

As a HPC Platform Engineer you’ll develop and support scalable workload scheduling solutions for HPC environments using tools such as YellowDog within a large‑scale computing environment with both on‑premise and cloud (AWS) based services. You’ll collaborate with internal teams to optimise HPC platforms, with a focus on improving performance, resilience and observability of the compute infrastructure.

You’ll also contribute to continuous improvements initiatives, automating wherever possible and sharing your expertise with the team.

Location / WFH

You’ll join colleagues based in high‑spec offices with free breakfast and lunch at the onsite restaurant, with flexibility to work from home 1‑2 days a week.

About you
  • You have experience of engineering and supporting at least one HPC scheduler, such as YellowDog, Ray, Slurm or IBM Symphony
  • You have a deep knowledge of Linux
  • You have a good understanding of both loosely coupled and tightly coupled HPC workloads and experience of working on large‑scale systems with 5000+ nodes and high levels of concurrency (100k+ tasks)
  • You have experience of monitoring and visualisation of large‑scale systems
  • You have experience with performance tuning of compute, network and storage components and a good understanding of the challenges of user authorisation in large‑scale distributed environments using AWS IAM and identity providers such as Okta
  • You have a good knowledge of AWS cloud services
  • You believe in automating if possible and code with Python
  • You have strong analysis and problem‑solving skills
  • You’re collaborative and pragmatic with great communication skills
  • You’re degree educated in a relevant discipline (likely to have studied to MSc / PhD level)
What's in it for you
  • Salary to £130k
  • Pension
  • 25 days holiday
  • Opportunity to work on Greenfield systems at the cutting edge
  • Continual learning and development opportunities
Seniority level
  • Mid‑Senior level
Employment type
  • Full‑time
Job function
  • Engineering and Information Technology
  • Software Development, Financial Services, and Investment Management

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