Platform Software Engineer
Full Job Posting
The role:
The Storage Engineering team builds and operates the storage products used across G-Research. As a Platform Software Engineer, you'll build the APIs, workflows and data models that turn manually operated infrastructure into self-service products.
The work includes capacity requests, tenant and quota automation, reporting and data lifecycle services. You'll make infrastructure changes safe, repeatable and auditable, while keeping observed state separate from intended change.
This is a software engineering role within an infrastructure team, working alongside colleagues responsible for security, research infrastructure and developer platform services. Storage experience is useful but not required. You'll operate the services you build and join the team's out-of-hours on-call rotation.
Key responsibilities of the role include:
Building and operating services and APIs in Python, Go and TypeScript
Automating capacity, tenant, quota, access and data lifecycle workflows
Building self-service requests with explicit policy checks and exception paths
Modelling infrastructure state and making changes idempotent, attributable and auditable
Defining stable contracts between storage platform and developer platform services
Building tests, fixtures and observability that make failures safe to diagnose
Working with users and partner teams to turn operational problems into bounded engineering work
Participating in incident response and the out-of-hours on-call rotation
Who are we looking for?
The ideal candidate will have the following skills and experience:
Strong Python, with practical Go and TypeScript software engineering skills
Experience designing, testing and operating APIs and backend services
Strong use of coding agents in day-to-day delivery, with clear task boundaries, careful review and tests controlling the output.
Experience building infrastructure automation, workflows or reconciliation systems
Understanding of retries, partial failure, concurrency, idempotency and eventual consistency
Strong Linux and production troubleshooting skills
Experience with CI/CD, observability and safe deployment practices
A practical approach to security, permissions, audit and change control
A calm, methodical approach to incidents
Desirable experience includes orchestration, configuration management, enterprise identity and data lifecycle tooling. Storage experience is useful but not required; strong platform software engineering skills and adaptability are more important. We expect every colleague to actively bring AI into their daily workflow to deliver impact.
Why join us?
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
Relocation Support
If you're relocating from within the UK or internationally to join us in London, we offer a comprehensive range of support services to assist you all the way. All costs associated with your relocation and immigration are covered by G-Research.
Concierge service: Your personal consultant will arrange travel, help find your new home and manage your move. They're also on hand to help with more bespoke requests too.
Immigration support: We'll partner you with an expert consultant who will guide you through the full immigration process.
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
Qualifications
- Experience with CI/CD, observability and safe deployment practices
About G-Research
Private British quantitative finance firm using machine learning and technology to predict global financial-market movements.
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