Hybrid Staff Software Engineer

at Coinbase

• Job title: Staff Software Engineer
• Job type: Full Time
• Experience level: Lead
• Salary: $218,025 - $256,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Distributed Systems
• Location requirements: Hybrid, United States

About the role

• Staff Software Engineer at Coinbase defining architecture for fund flow correctness. Leading AI initiatives and cross-functional collaborations with financial services.

Responsibilities

• Define and drive the architecture of the correctness layer across Coinbase’s fund flows — from real-time invariant enforcement to AI-powered guardrails.
• Own the core platform: the invariant definition framework, real-time detection engine, and the APIs and tooling that partner teams use to onboard and monitor their fund flows.
• Lead the AI guardrails workstream: predictive consistency models that catch deviations before settlement, and proactive invariant discovery so coverage keeps pace with AI-accelerated development. The same AI that speeds up shipping should speed up the correctness layer around it.
• Set technical direction for the team, make high-stakes architecture decisions, and raise the engineering bar.
• Partner cross-functionally with Transfer Service, Ledger, Payments, Risk, and Compliance to define correctness requirements and drive adoption.
• Mentor engineers and translate platform vision into executable roadmap.

Requirements

• 8+ years of software engineering experience.
• You’ve built fault-tolerant, high-reliability distributed systems at scale.
• Platform-builder mindset — you build infrastructure other teams depend on, not features for a single product.
• Experience leading cross-functional technical work with significant company-wide impact.
• Strong judgment on where to invest: you can distinguish the load-bearing correctness problem from the interesting-but-optional one.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development