Staff Software Engineer - Backend (Consumer - Agentic Trading)

📍 United States

USD 218,000-256,500 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 API @ 7 Agentic Systems @ 4 Compliance Data Modeling @ 7 Debugging @ 7 Distributed Systems @ 7 GenAI Generative AI @ 6 Go @ 6 LLM @ 4 Observability Prompt Engineering

Details

Coinbase is hiring a Staff Software Engineer to join the Coinbase Advisor team within the Consumer & Business group. Coinbase Advisor is an RIA-licensed agentic trading system: an AI advisor inside the Coinbase app that holds natural conversations about users' portfolios, provides personalized financial advice, and executes trades on their behalf. This role is primarily backend on a full-stack team and will own the services that make agentic trading fast, clear, and trustworthy for millions of customers.

Coinbase is a remote-first, but not remote-only company. Employees are expected to meet quarterly for intense in-person working sessions called "surges."

Responsibilities

Own backend services powering Coinbase Advisor and Strategies, from technical design through launch and ongoing operation.
Build integrations with Coinbase's trading APIs so agent recommendations and user-configured strategies translate into correct, auditable execution.
Develop the agentic harness, including tool calling, orchestration, persistent state, and recovery from failed or partially completed actions.
Shape agent behavior through prompt engineering, evaluations, and conversation analysis, partnering with the registered investment adviser on changes to financial advice.
Improve service reliability, latency, observability, and execution safety, including retry behavior and safeguards against duplicate actions.
Partner with frontend engineering, product, design, trading infrastructure, and legal and compliance teams to ship customer-facing capabilities within regulatory guardrails.

Requirements

5+ years of professional software engineering experience, with deep backend expertise and a track record of shipping and operating production services.
Strong experience with API design, distributed systems, data modeling, testing, and debugging production failures.
Proficiency in Go or demonstrated ability to learn it quickly.
Experience building production LLM or agentic systems, including tool calling, orchestration, or evaluation.
Proven ability to take ambiguous projects from zero to production with minimal oversight and sound product and technical judgment.
Ability to use generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.