Backend Software Engineer – Golang

Reflexivityai — United Kingdom · Posted ~21 hours ago

Mid

Skills

Golang Backend development API design Data pipelines Performance optimization Reliability Observability Production debugging APIs

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Summary ✨ AI‑Generated

Build and maintain high-performance Golang services supporting critical financial workflows. Design APIs and data pipelines for AI-driven systems, improve reliability and observability, and solve demanding production problems while keeping architectures simple and scalable.

Highlights

Build production-grade backend systems where correctness, performance, reliability, and scalability matter. Work closely with AI and product teams on high-impact financial technology systems.

Description

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 EnglishYou 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 ForBuild and maintain Golang services that power core product workflowsDesign APIs and data pipelines used by AI and reasoning systemsImprove system performance, reliability, and observabilityReview and challenge designs to keep systems simple and scalableDebug production issues with speed and discipline What “Good” Looks Like in This RoleAfter 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 experienceStrong Golang experience in production systemsStartup experience on a core productExperience working with data-heavy systemsComfortable using AI-assisted coding tools dailyFintech or investment domain exposure Nice-to-HavesExperience supporting ML or LLM systemsDistributed systems or low-latency data pipelines How We WorkEngineers own systems end to endClear accountability and direct feedbackIn-office team with high trust and high ownership Why This Role Is Worth Your TimeWork on systems that directly affect investor outcomesStrong technical ownershipHigh bar engineering culture without bureaucracy