Senior Software Engineer, Coinbase

• 5+ years of experience in software engineering
• Proven expertise in designing, building, scaling, and maintaining production services, with a strong understanding of micro-services architecture
• Ability to write high-quality, well-tested code that meets customer needs
• Deep understanding of what high-quality code and software engineering processes look like, and the ability to foster an environment that promotes them
• Strong technical skills in system design and coding
• Passion for building an open financial system that unites the world
• Excellent written and verbal communication skills, with a preference for open and transparent cultural practices
• 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

Desirable

• The Core Automation Team is a highly driven and innovative group dedicated to developing AI infrastructure and automation solutions that enhance productivity, foster innovation, and create meaningful customer impact across Coinbase
• Our mission is to streamline operations for customer support and compliance teams while delivering exceptional customer experiences
• As a Software Engineer on our team, you will play a key role in this transformation, utilizing state-of-the-art AI models, frameworks, and tools, along with diverse and extensive data sources, including blockchain data
• Your work will focus on breaking down barriers to cryptocurrency adoption and shaping the future of AI-powered customer interactions
• Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization
• Lead project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise
• Write high-quality, well-tested code in Python and Golang to address critical product and business needs
• Architect scalable, secure systems using modern cloud technologies and industry best practices
• Mentor team members on design principles, coding standards, and AI productivity tools adoption
• Debug complex technical issues to enhance system reliability, scalability, and ease of operation
• Review and ensure the security, scalability, and architectural integrity of feature designs across teams
• Build pipelines to integrate with third-party vendors and streamline workflows
• 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