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orchestration layers, RAG pipelines, HITL workflows, or evaluation and guardrail frameworks, with proficiency in Go and willingness to work across Python. - Utilizes generative AI responsibly, maintaining human oversight to d
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- Remote - USA
- Country
- Remote - USA (ATS location fields)
- Work mode
- Remote - USA (ATS workplaceType/location)
- Stack
- - Experience building or integrating with agentic AI systems including MCP servers, LLM orchestration layers, RAG pipelines, HITL workflows, or evaluation and guardrail frameworks, with proficiency in Go and willingness to work across Python. (Source language/tool mention)
- Stack
- - Experience building or integrating with agentic AI systems including MCP servers, LLM orchestration layers, RAG pipelines, HITL workflows, or evaluation and guardrail frameworks, with proficiency in Go and willingness to work across Python. (Source language/tool mention)
- Stack
- - Strong experience with cloud-native infrastructure including AWS, Kubernetes, Terraform, CI/CD pipelines, event-driven architectures (Kafka, MQ), distributed caching, and SQL or NoSQL databases. (Source language/tool mention)
- Stack
- - Strong experience with cloud-native infrastructure including AWS, Kubernetes, Terraform, CI/CD pipelines, event-driven architectures (Kafka, MQ), distributed caching, and SQL or NoSQL databases. (Source language/tool mention)
- Stack
- - Strong experience with cloud-native infrastructure including AWS, Kubernetes, Terraform, CI/CD pipelines, event-driven architectures (Kafka, MQ), distributed caching, and SQL or NoSQL databases. (Source language/tool mention)
- Stack
- - Strong experience with cloud-native infrastructure including AWS, Kubernetes, Terraform, CI/CD pipelines, event-driven architectures (Kafka, MQ), distributed caching, and SQL or NoSQL databases. (Source language/tool mention)
- Stack
- iency in backend service design, API development (gRPC, MCP, GraphQL), and scalable microservices archit (GTM description)
- Stack
- ck record architecting and delivering large-scale distributed systems, including deep proficiency in backend service de (GTM description)
- Stack
- rastructure including AWS, Kubernetes, Terraform, CI/CD pipelines, event-driven architectures (Kafka, MQ) (GTM description)
- Remote location
- Remote - USA (ATS remote location (not applicant eligibility))
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Staff Software Engineer, EAA CXSource details
Company identifier: Coinbase
Source ID: greenhouse:coinbase:6784618
Board: greenhouse:coinbase
Evidence field: description
Match rule: alternative_in_list
Go matches in source: 1
Department as supplied: Enterprise Applications
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