DevOps Storage Engineer (Placement Year)

London - UK

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 executionbecause the best ideas take time to evolve. Together were building a world-class platform to amplify our teams most powerful ideas.

Every breakthrough is built on strong our Storage Development Operations team youll work across disciplines to drive the strategy culture and structure that enable our success.

This is a role based in our new Soho Place office opened in 2023 in the heart of Central London and home to our Research Lab.

The role

Location: London
Dates: 13 July 2026 16 July 2027

The Storage Platform Management team is responsible for designing deploying and operating a diverse range of storage solutions. These include high-performance scale-out clusters block storage object storage and archival systems all of which underpin the research and compute environment at G-Research.

As a Placement Year DevOps Storage Engineer you will partner with Researchers Software Engineers Network teams and leading vendors including Dell VAST HPE and Rubrik to optimise workflows and resolve issues.

For students with strong coding expertise there is also the opportunity to contribute to the teams development backlog focusing on automation customer-facing tools and observability enhancements.

Key responsibilities of the role include:

Monitoring and troubleshooting events affecting platform health
Conducting deep-dive investigations and supporting incident management
Analysing HPC workflows used by Research teams to identify opportunities for efficiency
Operating maintaining and extending Infrastructure-as-Code (IaC) pipelines and storage tooling

Who are we looking for

We are seeking a motivated and capable student currently enrolled in a Computer Science Mathematics or related degree programme with a placement (sandwich) year graduating in 2028.

The ideal candidate will have the following skills and experience:

A predicted grade of 2:1 or above or equivalent
Interest in building and managing high-performance scalable and resilient infrastructure solutions
Linux system administration experience
Proficiency in Python or similar programming languages
Strong interest in GitOps and Infrastructure-as-Code (IaC) with exposure to tools such as Ansible Jenkins and Kubernetes
Excellent communication skills with the ability to collaborate effectively across distributed teams and the wider business

Application process

Successful applicants at CV stage will be invited to complete a technical assessment
Those who pass will attend an assessment centre followed by technical interviews with mentors
Applications will be reviewed from October with interviews starting in November
Please note: due to our focus on converting top placement students to graduate roles we can only consider those graduating in 2028

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

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 executionbecause the best ideas take time to evolve. Toge...