Backend Software Engineer, Golang - London

Requirements

• 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

Benefits

Additional Information

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

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Company Intel

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