Distributed Computing Application Engineer- Systematic Quant Fund

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.

About the role

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)
Expertise in monitoring/troubleshooting distributed environments
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.

Contact
If this sounds like you, or you’d like more information, please get in touch:

George Hutchinson-Binks

(+44)
in/george-hutchinson-binks-a62a69252