Software Engineer

Stacks Labs is seeking a Software Engineer to join its sBTC team, building a Bitcoin-backed asset that brings BTC into Stacks smart contracts through a decentralized signer network. The role focuses on developing and maintaining the sBTC protocol, implementing secure peg mechanics and signer coordination, and creating tooling for monitoring, benchmarking, debugging, and integrations.

Responsibilities:

• Contribute to developing, maintaining, and testing the sBTC protocol and its signer software
• Design and implement core peg mechanics — deposits and withdrawals — and the threshold-signing coordination that secures the sBTC wallet
• Implement rigorous and thorough monitoring and testing to meet the stringent security and performance requirements of a system safeguarding real Bitcoin
• Design and implement supporting tools and utilities, such as CLI clients, applications that support moving sBTC on or off the Stacks blockchain, and utilities for monitoring signer health, benchmarking, or debugging
• Collaborate with other teams on new product features across the Stacks blockchain, including applications that support moving sBTC on or off the Stacks blockchain and protocol integrations
• Work closely with internal teams and external partners, communicating design decisions and trade-offs clearly as sBTC integrates with new products and partner systems

Requirements:

• 5+ years of experience
• Strong, demonstrated engineering fundamentals, including scalability, architecture, refactoring, algorithms, and testing
• Experience building and operating security- or reliability-critical backend systems
• Strong written and verbal communication skills, with the ability to work effectively with both internal teams and external partners
• Expertise in Rust, which is the primary language of the sBTC codebase
• Working knowledge of blockchains, distributed systems, peer-to-peer systems, and decentralization
• Familiarity with the Bitcoin protocol
• Knowledge of multi-party cryptography
• Experience testing distributed systems for behaviors in the presence of faults, network partitions, and network delays