Network Automation Engineer (Contract)

Posted 2 Days Ago
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London, Greater London, England, GBR
In-Office
Entry level
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
The Role
Design and develop core components of a distributed storage platform in Rust. Build scalable, resilient services for large data workloads, optimize systems running in Kubernetes, integrate Kafka-based event streaming, and contribute to distributed-systems architecture. Collaborate with researchers and engineers to understand data-access requirements while promoting testing, code quality, operational excellence, and clear technical communication.
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.


Take the next step in your career.


The role

The Custom I/O team builds the storage technology that sits underneath much of our research. We are developing a new distributed storage platform, written in Rust, to give us greater scalability, performance and operational control.


You will work closely with researchers and other engineers to understand how data is stored and accessed, and help shape the design of a platform that many teams depend on. AI is part of how every team here works, accelerating thinking and delivering impact. All colleagues are expected to bring AI into their daily workflows.


Key responsibilities of the role include:

  • Designing and developing core components of a distributed storage platform in Rust
  • Building scalable, resilient and performant systems for large data workloads
  • Collaborating with researchers and engineers to understand data access requirements
  • Contributing to architectural decisions across distributed systems and data management
  • Developing and optimising services that run in Kubernetes environments
  • Integrating event-driven and streaming technologies, including Kafka, into the wider platform
  • Promoting engineering best practice, code quality and thorough testing

Who are we looking for?

The ideal candidate will have the following skills and experience:


  • Commercial experience developing production systems in Rust
  • A solid grounding in distributed systems and the trade-offs involved in designing them
  • Experience building systems that handle large volumes of data reliably
  • Experience with Kubernetes is beneficial
  • Familiarity with event-driven or streaming technologies such as Kafka is desirable
  • A collaborative approach and the ability to explain technical decisions clearly to colleagues
  • A commitment to testing, code quality and operational excellence

 

Why join us?
  • Highly competitive compensation 
  • Lunch provided (via Just Eat for Business) and dedicated barista bar
  • Informal dress code and excellent work/life balance
  • Monthly company events

Please note that contract applications for London based roles at G-Research are handled by one of our third-party recruitment partners, so your application will be managed through them.

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

Skills Required

  • Commercial experience developing production systems in Rust
  • Strong understanding of distributed systems and design trade-offs
  • Experience building reliable systems that handle large volumes of data
  • Experience with Kubernetes
  • Familiarity with event-driven or streaming technologies such as Kafka
  • Collaborative approach and ability to explain technical decisions clearly
  • Commitment to testing, code quality, and operational excellence
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The Company
HQ: London
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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