# Senior Software Engineer, Data Layer

**Company:** [Coinbase](https://hotfix.jobs/companies/coinbase)
**Location:** Remote
**Role:** Fullstack Engineering
**Salary:** $186k – $219k/yr
**Experience:** 5+ years
**Skills:** Go, Java, GraphQL, Microservices, api platforms, Distributed Systems, high-availability systems, Caching, Observability, slos
**Posted:** 2026-07-23

> Senior Software Engineer shaping Coinbase's GraphQL API platform and data layer that routes and serves the majority of user traffic across Consumer, Base, and Institutional products. Build high-reliability low-latency systems, own SLOs and incident response, and improve developer experience for hundreds of engineers.

## Job Description

## What you'll do

- Own and deliver projects end to end, from scoping and system design through implementation, rollout, and production validation, driving measurable progress on the team's highest-priority initiatives.
- Design and build high-reliability, low-latency systems serving millions of users, tackling challenges like caching, upstream service optimization, and efficient connection management at scale.
- Build and improve the API framework and tooling that hundreds of engineers depend on, making it fast and easy for teams across the company to build, test, and ship independently.
- Drive operational excellence across T0 services: own SLOs, improve observability, lead incident response, and reduce operational toil so the team can invest in high-leverage work.
- Partner cross-functionally with product engineering teams to design API schemas, support service launches, and ensure the platform evolves to meet their needs.
- Set the technical bar through code and design reviews, mentor engineers across the team, and contribute to architectural direction.

## Required Skills and Experience

- 5+ years of professional engineering experience with demonstrated ownership of complex, production-grade distributed systems.
- Deep proficiency in backend languages (Go, Java, or similar) with hands-on experience designing microservices, API platforms, and high-availability systems.
- Track record of delivering projects end to end, including scoping, architecture, implementation, monitoring, and iteration, in environments where reliability and performance are non-negotiable.
- Experience decomposing complex systems into clean APIs and abstractions adopted by multiple consuming teams, with comfort owning on-call responsibilities and driving incident response across multi-service architectures.
- Demonstrated ability to align technical decisions with cross-functional stakeholders, translating platform capabilities into actionable plans with frontend engineers, product teams, and platform consumers.
- 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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