Application Engineer

ZipRecruiter; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading global investment manager is seeking a Distributed Computing Application Engineer to architect and optimize large-scale workflows. This role involves collaborating with diverse teams, utilizing platforms like Ray and YellowDog to enhance performance and scalability in complex environments. Successful candidates will have a strong technical background and problem-solving skills with cloud environments.

Qualifications

• Bachelor's degree in Computer Science or related field required.
• Strong understanding of loosely/tightly coupled workloads.
• Experience with HPC platforms and resource scheduling.
• Proficient in Python, Docker, and Kubernetes.

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.

Skills

Distributed computing

Cloud platforms

Python

Problem-solving

Communication

Monitoring/troubleshooting

Analytical skills

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Ray

Docker

Kubernetes

AWS

Azure

Google Cloud

Job description

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)
• 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
[e-mail]
([phone]
linkedin.com/in/george-hutchinson-binks-a62a69252