The Smart Contract Engineer will design, develop, and maintain Move smart contracts, collaborating with teams to ensure security and efficiency while documenting processes and conducting testing.
Overview:
We're seeking an experienced Smart Contract Engineer to help us build the future of on-chain credit. In this role, you'll architect, implement, and test smart contracts that power decentralized lending infrastructure.
Responsibilities:
- Design, develop, and maintain Move smart contracts on Aptos with a focus on security, efficiency, and scalability
- Write comprehensive technical documentation for both internal teams and external developers
- Collaborate with backend engineers, product managers, and security auditors to integrate on-chain loan logic with off-chain services
- Conduct thorough testing and code reviews to identify vulnerabilities and optimize gas efficiency
- Monitor deployed contracts and respond to security concerns or performance issues
Requirements:
- 2+ years of professional smart contract development experience (Solidity, Move, or similar languages)
- Deep understanding of blockchain fundamentals, consensus mechanisms, and DeFi protocols
- Proven ability to write secure, well-tested smart contract code with attention to edge cases
- Strong communication skills—you can explain complex technical concepts to non-technical stakeholders
- Track record of writing clear, maintainable technical documentation
- Degree in Computer Science, Mathematics, Engineering, or equivalent practical experience
Nice to Have:
- Experience with Move language in production environments
- Background in traditional finance, private credit, or lending protocols
- Familiarity with formal verification tools and security audit processes
- Contributions to open-source blockchain projects
Pact Labs San Francisco, California, USA Office
San Francisco, California, United States, 94121
Similar Jobs
Artificial Intelligence • Machine Learning • Software • Generative AI
Design and architect a security protocol, build and secure production smart contracts, integrate with the tech stack, and contribute to team culture.
Top Skills:
SolidityWeb3 Technologies
Blockchain • Software • Cryptocurrency
As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.
Top Skills:
CypressGitGitlab CiJavaJenkinsJunitPythonRest AssuredSeleniumSQLTestng
Agency • Angel or VC Firm • Co-Working Space or Incubator • Digital Media • Enterprise Web • Software • Consulting
Lead planning, execution, and delivery of web application projects. Coordinate cross-functional teams, manage schedules/budgets, mitigate risks, report status to stakeholders, and run post-project reviews to drive continuous improvement.
Top Skills:
AgileJIRA
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
