Compute Operations Engineer

Reposted 7 Days Ago
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London, Greater London, England
In-Office
Mid level
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
The Role
The Compute Operations Engineer will manage and optimize a scalable research platform, develop automation for Kubernetes, and support critical infrastructure operations.
Summary Generated by Built In

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve.  Together we’re building a world-class platform to amplify our teams’ most powerful ideas.

As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.

The role

G-Research is going through an exciting period of growth and transforming the way we run and build platforms. As part of our transformation, we are looking for a highly skilled engineer to join our expanding Research and Core Compute Platform Management team.

As a Compute Operations Engineer, you will assist in the management of a reliable and scalable research platform. You will design automation, from pipelines to Kubernetes controllers and custom CLIs, to ensure the compute farm capacity is optimal. You will ensure that the compute farm scales rapidly as we onboard new hardware and new architectures.

The compute farm is key to our business, and you will work closely with research engineering and researchers in this role.

Key responsibilities of the role include:

  • Managing lifecycle and monitoring of Core Compute and Research HPC platforms

  • Developing automation and operators to build and extend our Kubernetes compute platform

  • Working with platform and development teams to help define standards, best practices and onboard new technologies onto the platform

  • On-call responsibilities for the most critical parts of our Kubernetes infrastructure

Who are we looking for?

We’re looking for a skilled engineer with technical experience of managing high performance, scalable and resilient infrastructure solutions.

The ideal candidate will have the following skills and experience:

  • Kubernetes, inclusive of networking

  • Basic networking knowledge 

  • CI/CD principles

  • Linux internals

  • Storage principals and protocols

  • Development skills in at least one of Python or Go

  • Experience managing and debugging large productions systems

  • Reliability engineering mindset

Why should you apply?
  • Highly competitive compensation plus annual discretionary bonus

  • Lunch provided (via Just Eat for Business) and dedicated barista bar

  • 30 days’ annual leave

  • 9% company pension contributions

  • Informal dress code and excellent work/life balance

  • Comprehensive healthcare and life assurance

  • Cycle-to-work scheme

  • Monthly company events

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section

Top Skills

Go
Kubernetes
Linux
Python
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The Company
Dallas, TX
1,039 Employees
Year Founded: 2001

What We Do

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.

We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.

We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.

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