Network Automation Engineer (Contract)

G-Research; City of Westminster; On-site; GBP 110,000 - 160,000; Full time

Job summary

G-Research, based in London HQ, unites world-class researchers and engineers to build a world-class platform that amplifies ideas. You’ll join the Custom I/O team to design and develop a new distributed storage platform in Rust, aimed at greater scalability, performance and operational control.

You’ll collaborate with researchers and engineers to shape data storage and access while promoting testing, reliability and Kubernetes-based deployment.

Qualifications

• Commercial experience developing production systems in Rust.
• Strong 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.
• Collaborative approach and the ability to explain technical decisions clearly to colleagues.
• 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 production

Distributed systems

Big data systems

Kubernetes

Kafka

Communication

Code quality

Tools

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