# Senior Software Engineer

**Company:** [Coinbase](https://hotfix.jobs/companies/coinbase)
**Location:** Remote
**Role:** Fullstack Engineering
**Experience:** 5+ years
**Skills:** React, TypeScript, Go, API Design, Distributed Systems, Observability, Ai/Ml Integration, Caching, Debugging, Incident Response
**Posted:** 2026-06-12

> Build and scale full-stack customer and agent support experiences using React/TypeScript frontends and Go backends. Partner with Product and Design to deliver measurable CX improvements.

## Job Description

## Responsibilities
- Build end-to-end full-stack features across React/TypeScript frontends and Go backend services for Help Center, chat, and agent-facing workflows.
- Partner with Product, Design, CX Ops, and peer engineering teams to turn high-volume customer problems into intuitive self-serve and assisted-support experiences.
- Own APIs, service integrations, and UI flows that connect Surfaces with CEE Foundations and Intelligence capabilities, including routing, procedures, data-plane integrations, and evaluation systems.
- Drive CX outcomes through experimentation, instrumentation, and iterative delivery, using metrics such as containment, AtR, CSAT, and escalation rates.
- Lead integration of AI/ML and vendor capabilities into customer and agent experiences with appropriate guardrails, observability, and rollout discipline.
- Strengthen production reliability through on-call participation, incident response, debugging, and mentoring engineers on full-stack design, testing, and deployment practices.

## Requirements
- 5+ years of software engineering experience building and operating production full-stack web applications.
- Hands-on proficiency in React (or similar modern frontend frameworks) with TypeScript.
- Backend API development in Go.
- Demonstrated experience designing and shipping customer-facing experiences in close partnership with Product and Design.
- Proven track record with distributed systems and production fundamentals including API design, caching, observability, debugging, incident response, and operational reliability.
- Experience integrating AI/ML or third-party platform capabilities into production applications with engineering rigor around guardrails, testing, and rollout.
- Track record of delivering measurable product outcomes across cross-functional teams, including translating ambiguous problem spaces into shipped solutions.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

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