Compute Engineering Lead

Job in Greater London, London, Greater London, W1B, England, UK

Listing for: Balyasny Asset Management L.P.

Full Time position
Listed on 2026-09-01

Job specializations:

IT/Tech
IT Project Manager, Systems Engineer, Cloud Computing: Infrastructure & Operations

Salary/Wage Range or Industry Benchmark: 140000 - 210000 GBP Yearly GBP 140000.00 210000.00 YEAR

Location: Greater London

BAM is building a world-class on-premises compute platform for its investment professionals and is looking for an engineering manager to own the compute infrastructure pieces of this. This senior, hands-on leader will own compute architecture, implementation and governance. This role offers the opportunity to work directly with Portfolio Managers and other business stakeholders to understand their needs and enable them to efficiently use on-premises compute resources.

As

the Compute Engineering Lead at BAM, you will:

Be the hands-on manager and leader of compute infrastructure.
Scale and harden our compute infrastructure to provide a robust and resilient environment for researchers and investment professionals.
Leverage both open and closed source software solutions.
Partner with application developers across the firm and enable their success.
Participate in on-call rotation and maintenance.

Core Tech Stack:

Kubernetes on bare metal Linux.

To be considered a good cultural fit, you must be:

An ambitious self-starter who strives for excellence in everything you do
An efficient communicator that can work with technical and non-technical people equally well
A person that inspires and motivates your team to be their best

To be considered a good technical fit, you must have:

10+ years, hands-on experience with large-scale compute environments.
Experience with software low latency environments.
5+ years people management experience.
Expert knowledge of Kubernetes from the infrastructure and application points of view.
Experience managing bare metal compute at scale.
IP network performance tuning and routing experience.
Comfortable writing Python.
Experience with disaster recovery and business continuity planning.

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