Senior Software Engineer, Backend - Platform (Core AI Automation)
About the role
About Coinbase
At Coinbase, our mission is to increase economic freedom in the world. We are building the emerging onchain platform and with it, the future global financial system.
Our culture is intense and we seek candidates who are passionate about our mission and believe in the power of crypto and blockchain technology. We look for people who are eager to make an impact, who thrive under pressure working with high caliber colleagues, and who actively seek feedback to continuously improve. We value those who run towards solving the company's hardest problems.
Note: While many roles at Coinbase are remote-first, in-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment.
The Role
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. As a Senior Software Engineer on this team, you will play a key role in transforming operations for customer support and compliance teams while delivering exceptional customer experiences.
Responsibilities
- 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