Used Tools & Technologies
GenAIRequired Skills & Competences
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.
Security @ 4
Go @ 6
Kafka @ 4
Kubernetes @ 4
Terraform @ 4
Python @ 6
SQL @ 4
NoSQL @ 4
CI/CD @ 4
Distributed Systems @ 4
AWS @ 4
gRPC @ 6
Microservices @ 6
API @ 6
LLM @ 6
GraphQL @ 6
Audit @ 4
Compliance @ 4
Observability @ 4
Generative AI @ 4
AI @ 4
Agentic AI @ 6
RAG @ 6
- 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.
Details
The Customer Administration Engineering (CAE) team within Coinbase's Enterprise Applications and Architecture organization builds and operates Control Center, the secure platform powering customer data operations for ~7,000 internal users across CX, Compliance, Legal, Global Investigations, and Trust & Risk. As a Staff Software Engineer you will be the technical anchor driving Control Center's evolution from a human-specialist UI into a modular, AI-agent-ready operations platform exposing capabilities via MCP for both human and autonomous consumers. You will lead architectural decisions, mentor engineers, and deliver high-impact platform capabilities at an important inflection point for the product.
Responsibilities
- Own the architecture and delivery of foundational platform capabilities including MCP tool registries, AI orchestration layers, risk-based access automation, and the away-team contribution model that enables product groups to build on Control Center safely and at speed.
- Drive Control Center's evolution into an AI-agent-ready, headless operations platform by designing MCP procedure constructs, agentic guardrails, HITL orchestration, and evaluation frameworks for secure autonomous operations.
- Lead technical direction across the team in partnership with the Engineering Manager and Product: author TDDs, run design reviews, decompose complex initiatives into deliverable milestones, and mentor engineers through code review.
- Build highly reliable, secure distributed backend services, owning SLO definitions, observability instrumentation, incident response, and operational readiness for Tier-1 systems serving thousands of internal users and AI agents.
- Partner across EAA, Product Engineering, and Security Engineering teams to deliver cross-functional outcomes and drive shared platform primitives that eliminate duplicated infrastructure.
Requirements
- 8+ years of software engineering experience with a demonstrated track record architecting and delivering large-scale, high-traffic distributed systems.
- Deep proficiency in backend service design, API development (gRPC, MCP, GraphQL), and scalable microservices architectures.
- Proven ability to independently lead ambiguous, high-impact technical initiatives from whiteboard to production, writing high-quality, well-tested code.
- Hands-on experience with cloud-native infrastructure including AWS, Kubernetes, Terraform, CI/CD pipelines, event-driven architectures (Kafka, MQ), distributed caching, and SQL or NoSQL databases.
- Track record building secure, compliant internal tools or platforms with appreciation for security controls, access management, audit logging, and data governance in regulated environments.
- Experience building or integrating with agentic AI systems including MCP servers, LLM orchestration layers, RAG pipelines, HITL workflows, or evaluation and guardrail frameworks; proficiency in Go and willingness to work across Python.
- Responsible use of generative AI with human oversight to deliver business-ready outputs and measurable improvements in workflow efficiency, cost, and quality.
Compensation & Benefits
- Annual base salary range (excluding equity and bonus): $218,025 — $256,500 USD (varies by location).
- Total compensation may include equity, bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Additional
- Job #: P67493
- Coinbase is remote-first (expects quarterly in-person "surges"), is an Equal Opportunity Employer, and provides accommodations for applicants with disabilities.