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Staff Software Engineer, Backend (Consumer - Advanced Trading)Towards AI, Inc.United States
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Staff Software Engineer, Backend (Consumer - Advanced Trading)

Towards AI, Inc.
  • US
    United States
  • US
    United States

Über

Staff Software Engineer, Backend (Consumer - Advanced Trading) Published 05 Apr 2026
Share this job USA & Other locations
218K - 257K USD Annual
Remote
Role Highlights
GO
Generative AI
System Design
Data Protection
GDPR
Blockchain
Trading
Infrastructure
Startup
Testing
Tools, Libraries and Frameworks
IOS
MongoDB
Redis
SnowFlake
HTTP
Description The role involves building and scaling core systems that support crypto trading. The engineer will architect robust systems for various instrument types and collaborate with product and design teams. They will provide technical guidance and mentorship to other engineers. The position focuses on translating ideas into tangible features for customers.
Required Qualifications and Skills The role requires at least 8 years of experience in software engineering. Candidates must have experience designing, building, scaling, and maintaining production services as they evolve. A high bar for product excellence, customer obsession, and comprehensive observability is expected. The ability to empower and cultivate teammates is also necessary. Demonstrating responsible use of generative AI tools and copilots, continuous learning, and applying human-in-the-loop practices to drive efficiency and quality are required.
About the company Size 4530
HQ Remote First, US
Public/Private Public Company
Description At Coinbase, the mission is to increase economic freedom around the world, a goal pursued by hiring top talent to focus on the future of finance and Web3. The company stands out for its culture of trust, feedback, and self-disruption, seeking employees committed to a mission-focused approach and eager to live and learn crypto. Coinbase positions itself at the forefront of data science and business intelligence innovation, playing a pivotal role in transforming how data is discovered, consumed, and utilized in analytics, thereby laying the groundwork for the future of analytics.
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  • United States

Sprachkenntnisse

  • English
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