Senior Software Engineer, Backend (AI Platform)

📍 World
USD 186,100-218,900 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Docker @ 3 Python @ 4 Communication @ 4 MongoDB @ 3 LLM @ 7

Details

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

We are seeking a candidate who is passionate about our mission and believes in the power of crypto and blockchain technology to update the financial system. You should relish working with high-caliber colleagues, actively seek feedback, and run towards solving the company’s hardest problems. Coinbase is remote-first but not remote-only; in-person participation is required throughout the year for offsites and collaboration.

The AI Platform Team builds centralized AI infrastructure and acceleration solutions that drive productivity, innovation, and customer impact across Coinbase. As a Software Engineer on this team you will work with state-of-the-art AI models, frameworks, and tools and help shape how people and businesses engage with and benefit from AI.

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.
  • 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.

Requirements

  • 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 and preference for open, transparent cultural practices.

Nice to haves

  • 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.

Compensation & Other Info

  • Job #: GPBE05US-AI
  • Pay Range (target annual salary): $186,065 — $218,900 USD. Full-time offers also include target bonus, target equity, and benefits (medical, dental, vision, and 401(k)).
  • Answers to crypto-related questions may be used to evaluate your onchain experience.
  • #LI-Remote

Benefits

  • Medical, Dental and Vision plans
  • Health Savings Account with company contributions
  • Disability and Life Insurance
  • 401(k) plan with company match
  • Wellness stipend, Mobile/Internet reimbursement, Connections stipend
  • Volunteer Time Off
  • Fertility counseling and benefits
  • Generous time off / leave policy
  • Option to get paid in digital currency

Inclusion & Privacy

  • Coinbase is an Equal Opportunity Employer and provides reasonable accommodations for applicants with disabilities. Global Data Privacy Notice applies to job candidates and applicants. Coinbase pilots certain AI tools for interview screening and interview intelligence; humans review interview responses and recordings.