Distributed Computing Application Engineer

Oxford Knight; London; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading global investment manager is seeking a Distributed Computing Application Engineer in London. The role involves collaborating across teams to architect workflows using platforms like Ray and YellowDog, managing high-performance computing solutions and optimizing large-scale systems. Ideal candidates should possess a Bachelor's degree in Computer Science and have extensive experience in distributed systems.

Qualifications

• Experience with large-scale distributed systems (1000+ nodes).
• Strong understanding of HPC and job/resource scheduling.
• Advanced usage of Ray and proficiency in Python.

Responsibilities

• Collaborate with business teams on distributed computing integration.
• Optimize applications for performance on distributed platforms.
• Provide architectural guidance on distributed computing.

Skills

Distributed computing

Problem solving

Analytical skills

Communication

Cloud platforms

HPC experience

Python

Docker

Kubernetes

Education

Bachelor’s degree in Computer Science

Engineering or related field

Tools

Ray

YellowDog

AWS

Azure

Google Cloud

Conda

Job description

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Distributed Computing Application Engineer, London

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Client:

Oxford Knight

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

62b412f898dd

Job Views:

8

Posted:

14.07.2025

Expiry Date:

28.08.2025

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Job Description:

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.

The Workload Scheduling team is seeking a skilled Distributed Computing Application Engineer. In this role, you’ll collaborate with diverse business units to architect and optimize large-scale, compute-intensive workflows across multiple locations. Leveraging platforms such as Ray and YellowDog you’ll guide the integration and support of distributed computing solutions, driving performance and scalability in complex environments.

Responsibilities:

• Collaborate with business teams to integrate distributed computing into workflows
• Optimize applications for performance on distributed platforms
• Provide architectural and technical guidance on distributed computing design and development
• Design, implement, and manage systems using Ray and YellowDog

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field
• Strong understanding of loosely/tightly coupled workloads
• Experience with HPC platforms and job/resource scheduling
• Proficiency with cloud platforms: AWS, Azure, or Google Cloud
• Experience with large-scale systems (1000+ nodes, 10k+ tasks)
• Advanced use of Ray for ML pipelines, tuning, and distributed execution
• Proficient in Python and Conda; skilled in Docker and Kubernetes
• Knowledge of IAM and networking (TCP/IP, UDP/IP, LAN/WAN)
• Strong analytical, independent problem-solving, and communication skills

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.