Staff Software Engineer - AI Platform & Developer Experience

Coinbase, Inc.; Jackson (MS); Hybrid; USD 218,000 - 257,000; Full time

Job summary

Coinbase, Inc. is seeking a Staff Software Engineer to anchor 8 squads across CX engineering, shaping AI maturity and developer experience on Coinbase's production AI platform.

You’ll surface opportunities, prototype with demos, and drive adoption while aligning with engineering leadership. You will lead platform-excellence efforts, define build-vs-buy in AI tooling, ensure reliability and security, and provide architectural coverage across teams, delivering scalable, compliant backend services

Qualifications

• 8+ years of software engineering experience with large-scale distributed systems.
• Proficiency in backend design and API development (gRPC, MCP, GraphQL).
• Cloud-native infra (AWS, Kubernetes, Terraform), CI/CD, Kafka/MQ, databases.
• Security-conscious with internal tools, access control, audit logging.
• Experience with agentic AI systems, MCP servers, LLM orchestration; Go and Python openness.
• Commitment to responsible AI with human oversight and measurable outcomes.

Responsibilities

• Own AI maturity and developer-experience roadmap across EAA-CX with squads.
• Lead platform-excellence workstreams for reliability, observability, and readiness.
• Define build-versus-buy strategy for AI tooling and developer experience.
• Provide Staff-level architectural coverage across multiple squads.
• Build secure, distributed backend services with full SLO ownership and traceability.

Skills

Backend service design

API development

Microservices architecture

AWS

Kubernetes

Terraform

CI/CD pipelines

Go

Python

Security controls

Tools

AWS

Kubernetes

Terraform

CI/CD tooling

Kafka

GraphQL

SQL/NoSQL databases

Job description

Coinbase, Inc. is seeking a Staff Software Engineer to anchor 8 squads across CX engineering, shaping AI maturity and developer experience on Coinbase's production AI platform.

You’ll surface opportunities, prototype with demos, and drive adoption while aligning with engineering leadership. You will lead platform-excellence efforts, define build-vs-buy in AI tooling, ensure reliability and security, and provide architectural coverage across teams, delivering scalable, compliant backend services