Network Automation Engineer (Contract)

G-Research; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive pay

Lunch provided

Barista bar

Monthly events

Job summary

G-Research, based in London, seeks a Rust-focused engineer for the Custom I/O team to build a new distributed storage platform for scalable research workloads. You will design core components in Rust, ensure reliability for large data, and collaborate with researchers to meet data access needs.

The role emphasizes Kubernetes-based services, event-driven architectures, testing discipline, and clear communication of technical decisions across teams.

Qualifications

• Commercial experience developing production systems in Rust.
• Solid grounding in distributed systems and the trade-offs in design.
• 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.
• Collaborative approach and ability to explain technical decisions clearly.
• Commitment to testing, code quality and operational excellence.

Responsibilities

• 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.

Skills

Rust

Distributed systems

Data scales

Kubernetes

Kafka

Testing & quality

Communication

Tools

Kubernetes

Kafka

Job description

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

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