Software Engineer, EAA Integrations

Staff Software Engineer, Customer Administration

Coinbase

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.   Staff Software Engineer, Customer Administration The Customer Administration Engineering (CAE) team is a core pillar of Coinbase's Enterprise Applications and Architecture (EAA) org, responsible for building and operating the secure, foundational platforms that power customer data operations across Coinbase. Our flagship product, Control Center, is Coinbase's secure system of action for internal specialists across CX, Compliance, Legal, Global Investigations, Trust and Risk, and dozens of other teams. It serves approximately 7,000 internal users via its UI and powers a growing ecosystem of internal tools and AI automation via its backend APIs and MCP. We are at an exciting inflection point: evolving Control Center from a human-specialist UI into a modular, AI-agent-ready operations platform. As a Staff Software Engineer, you will be a technical anchor for the CAE team, driving architectural decisions, mentoring engineers, and leading the delivery of high-impact, cross-cutting platform capabilities. What You'll Do * Architect and deliver foundational platform capabilities including MCP tool registries, AI orchestration layers, risk-based access automation, and the away-team contribution model that enables product groups across Coinbase to build on the platform safely and at speed * Drive the evolution of Control Center into an AI-agent-ready, headless operations platform, designing and implementing MCP procedure constructs, agentic guardrails, HITL orchestration, and evaluation frameworks that enable both human and autonomous AI agents to execute sensitive customer operations securely * Partner with the Engineering Manager and Product counterparts to define architectural roadmaps, author TDDs, lead design reviews, decompose complex initiatives into deliverable milestones, and raise the engineering quality bar through code review and mentorship * Build and maintain highly reliable, secure, distributed backend services, owning SLO definitions, observability instrumentation, incident response, and operational readiness for Tier-1 platform systems * Collaborate across EAA engineering teams, Product Engineering, and Security Engineering to deliver cross-functional outcomes and drive shared platform primitives that eliminate duplicated infrastructure across the portfolio REQUIRED SKILLS AND EXPERIENCE * 8+ years of hands-on software engineering experience, with a demonstrated track record of architecting and delivering large-scale, high-traffic distributed systems in production, including 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 and setting the standard for others across complex, multi-team problem spaces * Strong experience with cloud-native infrastructure and the modern backend stack: AWS, Kubernetes, Terraform, BuildKite/CircleCI, event-driven architectures (Kafka, MQ), distributed caching (Redis/Memcached), and proficiency in SQL and/or NoSQL databases * Track record of building secure, compliant internal tools or platforms, with deep appreciation for security controls, access management, audit logging, data governance, and engineering rigor in a regulated financial services environment * Experience building or integrating with agentic AI systems, including MCP servers, LLM orchestration layers, RAG pipelines, HITL workflows, or evaluation and guardrail frameworks for production agentic workloads * Proficiency in Go (Golang) as a primary backend language, with willingness to work across Python where applicable in the evolving AI stack * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.   Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): ₹9,424,500—₹9,424,500 INR * Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. * Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. * US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. * Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. * Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

Senior Machine Learning Engineer

Coinbase

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform which powers coinbase chat, Help Center and agent tooling surfaces, partnering closely with Conversation Design, CX, and other Engg teams to deliver secure, compliant, and scalable AI-powered support. Our work provides the trusted and accurate automated and agent-assisted experiences—helping customers get answers faster while enabling human agents to resolve cases more effectively. We are hiring an IC5 Machine Learning Engineer to drive the evolution of our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will lead the design and implementation of a sophisticated unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is pivotal in managing complex state transitions, context sharing, and intent routing across a distributed environment. You’ll thrive here if you enjoy high ownership, architecting complex hand-off logic between disparate LLM frameworks, and building reliable AI-enabled products that are fast, measurable, and scalable. What you'll do: * Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. * Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. * Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. * Establish best practices for system design, coding standards, and AI/ML development workflows across the team. * Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. * Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance. Required Skills and Experience: * 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale. * Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. * Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code. * Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling. * Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences. * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. * Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality. Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): ₹6,612,600—₹6,612,600 INR * Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. * Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. * US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. * Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. * Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

Software Engineer - Salesforce Platform (EAA)

Coinbase

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Software Engineer, Enterprise Apps on the EAA STP team, you'll design and deliver the Salesforce capabilities that power institutional sales, account management, billing, and compliance workflows at Coinbase. This team is the primary engineering partner for the Sales, Trading, and Prime business, building scalable CRM and billing solutions while integrating Salesforce with pricing, contracting, and downstream finance systems. You'll own end-to-end feature delivery on a small, high-ownership team that partners directly with Sales, Sales Operations, Account Management, and Institutional Operations to unlock revenue, improve forecasting, and build resilient, auditable processes. What you'll do: * Design, build, and maintain Salesforce applications and platform capabilities using Apex, Lightning Web Components, Flows, and other Salesforce technologies across multiple orgs. * Own end-to-end delivery of features and enhancements for STP, from technical design and estimation through implementation, testing, deployment, and post-launch support. * Build and operate integrations between Salesforce and internal/external systems using REST APIs, Platform Events, middleware platforms, and ETL tooling to enable reliable cross-system data flows. * Partner with product managers, architects, admins, and business stakeholders across Sales, Compliance, Legal, and Institutional Ops to translate requirements into scalable technical solutions. * Drive engineering quality through code reviews, design reviews, documentation of technical patterns and runbooks, and mentorship of IC3 and contractor developers. * Support operational excellence through on-call rotations, production issue triage, root cause analysis, and hardening of critical platform services. Required Skills and Experience: * 4+ years as a Salesforce Developer or equivalent Salesforce-focused engineering role, with deep proficiency in Apex, LWC, Flows, security/sharing models, packaging, and release management. * Demonstrated experience designing complex Salesforce solutions in Service Cloud, Sales Cloud, or Experience Cloud, including case management, Omni-Channel routing, or partner portals. * Hands-on experience building and operating integrations between Salesforce and other systems using REST APIs, Platform Events, middleware/automation platforms, and ETL tooling. * Solid foundation in software engineering fundamentals, including testable architectures, version control (Git), CI/CD pipelines, and multi-sandbox environment management. * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. * Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).    Annual base salary range (excluding equity and bonus): $135,320—$159,200 USD * Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. * Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. * US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. * Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. * Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.