Key skills
PythonGolangMicro-services architectureGenAI frameworks/toolsSystem designDockerPostgresMongoDBcommunicationAIGenAILLMLarge Language ModelsCommunication
About this role
Coinbase is on a mission to increase economic freedom in the world, and they are seeking a Software Engineer to join their Core Automation Team. The role involves developing AI infrastructure and automation solutions to enhance productivity and customer experiences, focusing on advanced GenAI techniques and building scalable systems.
Responsibilities:
- Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization
- Excel at 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
- Build scalable, secure systems using modern cloud technologies and industry best practices
- 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
Requirements:
- 2+ 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
- Experience navigating rapid company growth (e.g., from startup to mid-size)
- Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB
- Background in AI/LLM infrastructure is a strong plus