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CurativePosted 1 month ago

Software Engineer L2 - Finance & Accounting Platform

$217,500–$217,500 year

RemoteUnited States

Full TimeLarge

Job Summary

Own the full-stack Python and TypeScript Finance and Accounting platform, acting as the single technical point of responsibility for data-intensive financial operations. Build and deploy AI agents that automate manual billing and support processes while designing internal tooling to leverage agentic AI for code generation and review. Manage end-to-end production reliability, including cloud infrastructure, observability, on-call rotation, and incident response for systems handling sensitive PHI and financial data. Translate F&A stakeholder workflows into shipped software by co-owning the product roadmap, conducting architectural reviews, and ensuring strict data correctness through rigorous pipeline checks and reconciliation logic.

Required Qualifications

  • 5+ years shipping production software
  • Real fluency in Python and TypeScript
  • Strong SQL and relational database fundamentals
  • Experience building data-intensive applications
  • A correctness mindset
  • Systems thinking
  • Production cloud experience (AWS, GCP, or equivalent)
  • Comfort working directly with non-technical stakeholders
  • An interest in working with financial data
  • Sharp written communication
  • You already use Claude Code, Cursor, Codex, or equivalent as your primary development tool
  • You have opinions about how to structure prompts, when to split work into subagents, and how to keep AI output from drifting
  • You review every AI-generated diff
  • You treat the AI as a junior engineer with infinite throughput
  • You enjoy building tooling that makes AI more effective on your codebase
  • You see AI leverage as what makes it possible for one engineer to own a full product surface and stay close to users

Desired Qualifications

  • A portfolio of AI-assisted work — skills you wrote, agents you built, automations you shipped
  • Experience being the single owner of a non-trivial service in production
  • Experience with data-intensive or financial systems — data platforms, analytics, billing, payments, or reporting

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