Reflexivity
Backend Software Engineer, Golang - London
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location