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  • Reflexivity

    Backend Software Engineer, Golang - New York

    Reflexivity · 🇺🇸 New York, NY · posted 1 month ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Equity
    Equity included
    Remote
    In-office, New York
    Stack
    Go, PostgreSQL

    TL;DR

    Build Golang backend systems for an AI-driven investment platform. Work with AI and product teams on APIs, data pipelines, and production services. Requires 5+ years backend experience, strong Golang, and fintech exposure.

    About Reflexivity →

    The full posting

    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

  • $180,000 to $280,000 depending on experience
  • Equity included
  • In-office role based in New York
  • No agencies
  • Salary Range

    $180,000

    —

    $280,000 USD