Senior Software Engineer, Backend (Retail DEX)

Location: Remote - Canada

Department: Engineering - Backend

Senior Software Engineer, Backend (Retail DEX)

Were hiring a Senior Software Engineer to join the Retail DEX team within the Consumer & Business group. This team runs all the data and trading systems that power onchain (DEX) trading within the main Coinbase app, enabling millions of traders to buy and sell 70M+ tokens on major blockchains including Base and Solana. Youll build software systems that straddle the off-chain and onchain worlds to deliver a seamless, unified trading experience regardless of where an asset settles.

What youll do:

• Integrate new blockchains, decentralized exchanges, and launchpads into the main Coinbase app to unlock more onchain assets for millions of traders
• Design and implement first-party smart contracts for onchain trading primitives such as DEX aggregation and advanced order types to improve execution quality and capability
• Scale real-time data pipelines to handle 100K+ messages per second, enabling millisecond-latency processing of blockchain market data
• Optimize the trading stack end-to-end to deliver the fastest execution, most optimal fills, and most comprehensive asset coverage for DEX traders
• Drive iteration on agentic-first development patterns, building self-improving software systems and tooling that accelerate team velocity

Required Skills and Experience:

• 5+ years of experience in backend software engineering with demonstrated success building and operating data systems or data pipelines in production
• Hands-on experience designing data-intensive systems and integrating with large-scale data infrastructure such as Kafka, Clickhouse, Starrocks, Temporal, and Redis
• Proven experience designing and integrating with onchain smart contracts on EVM (Ethereum, Base) or Solana, with deep understanding of the programming models of one or more of these virtual machines
• Demonstrated ability to build, iterate on, and improve agentic-first code repositories and software systems in production environments
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.