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Backend Software Engineer, Golang - London

Reposted 3 Days Ago
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In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
Build and maintain production Golang backend services and data pipelines for an AI-driven investment platform. Design APIs, improve performance, reliability, and observability, debug production issues, and collaborate with AI and product teams to ship scalable, low-latency systems.
The summary above was generated by AI

You build backend systems that stay up when things get ugly.
You care about correctness, performance, and clarity over cleverness.
You want your code to power decisions involving real money.
If you have only worked on internal tools or low-impact services, this is not the role.

The Role, In Plain English

You will build the backend systems that power Reflexivity’s AI-driven investment platform.
This role exists because scale, data complexity, and latency matter deeply in finance.
You will work closely with AI and product teams to ship production-grade systems.

What You’ll Be Responsible For
  • Build and maintain Golang services that power core product workflows
  • Design APIs and data pipelines used by AI and reasoning systems
  • Improve system performance, reliability, and observability
  • Review and challenge designs to keep systems simple and scalable
  • Debug production issues with speed and discipline
What “Good” Looks Like in This Role

After 3 months:
You ship production code confidently and understand system trade-offs.

After 6 months:
You own critical services and improve their performance or reliability.

After 12 months:
You influence architecture decisions and mentor other engineers.

Who You Are (Must-Haves)
  • 5 plus years backend engineering experience
  • Strong Golang experience in production systems
  • Startup experience on a core product
  • Experience working with data-heavy systems
  • Comfortable using AI-assisted coding tools daily
  • Fintech or investment domain exposure
Nice-to-Haves
  • Experience supporting ML or LLM systems
  • Distributed systems or low-latency data pipelines
How We Work
  • Engineers own systems end to end
  • Clear accountability and direct feedback
  • In-office team with high trust and high ownership
Why This Role Is Worth Your Time
  • Work on systems that directly affect investor outcomes
  • Strong technical ownership
  • High bar engineering culture without bureaucracy
Compensation & Practicalities
  • £80,000 to £160,000 depending on experience
  • Equity included
  • In-office role based in London
  • No agencies
Salary Range
£80,000£160,000 GBP

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8-12 Broadwick St, London, United Kingdom, W1F 8HN

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