Application Engineer - Distributed Computing

Selby Jennings; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading systematic hedge fund is seeking an Application Engineer - Distributed Computing for their London team. The role focuses on architecting and optimising large-scale workflows while integrating solutions to enhance performance. Candidates should possess strong programming skills, experience with HPC, and expertise with platforms like Ray and YellowDog. This is an exciting opportunity to shape future financial technologies with innovative computing strategies.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience with large-scale systems and cloud platforms.
• Advanced expertise in distributed systems and programming in Python.

Responsibilities

• Design, implement, and manage distributed computing solutions using Ray and YellowDog.
• Optimise applications for high performance on distributed platforms.
• Provide architectural and technical leadership in distributed system design.

Skills

Distributed Computing

Python

Docker

Kubernetes

Cloud Platforms

High-Performance Computing (HPC)

Machine Learning Pipelines

Education

Bachelor's degree in Computer Science

Engineering degree

Tools

Ray

YellowDog

AWS

Azure

Google Cloud Platform (GCP)

Job description

Application Engineer - Distributed Computing

Application Engineer - Distributed Computing

Selby Jennings London, United Kingdom Apply now Posted 2 days ago Hybrid Job Permanent Negotiable

Distributed Computing Application Engineer - Systematic Hedge Fund - London Our client, a leading systematic hedge fund, is seeking a Distributed Computing Application Engineer to join their London-based team. This role involves collaborating across multiple business units to architect and optimise large-scale, compute-intensive work-flows spanning global locations.

Distributed Computing Application Engineer - Systematic Hedge Fund - London

Our client, a leading systematic hedge fund, is seeking a Distributed Computing Application Engineer to join their London-based team. This role involves collaborating across multiple business units to architect and optimise large-scale, compute-intensive work flows spanning global locations.

You will work with cutting-edge platforms such as Ray and YellowDog, driving the integration and support of distributed computing solutions to enhance performance and scalability in complex environments.

Key Responsibilities:

• Partner with business teams to embed distributed computing into core workflows.
• Optimise applications for high performance on distributed platforms.
• Provide architectural and technical leadership in the design and development of distributed systems.
• Design, implement, and manage distributed computing solutions using Ray and YellowDog.

Required Skills & Experience:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Deep understanding of loosely and tightly coupled workloads.
• Hands-on experience with HPC platforms and job/resource scheduling.
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Proven experience working with large-scale systems (1000+ nodes, 10,000+ tasks).
• Advanced expertise in Ray for machine learning pipelines, hyperparameter tuning, and distributed execution.
• Strong programming skills in Python and experience with Conda.
• Proficiency with Docker and Kubernetes for containerisation and orchestration.

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