Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating the majority of trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. As of January 2024 Gauntlet manages risk and incentives covering over $13 billion in customer TVL.
Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 60 employees, operating remote-first with a home base in New York City.
Gauntlet’s mission is to drive adoption and understanding in the financial systems of the future. Building with decentralized systems creates novel challenges for mechanism designers, smart contract developers, and end-users of financial products, which are not seen in traditional software development and investing contexts. Gauntlet is dedicated to enhancing our industry’s understanding of this new domain, and revealing how to safely navigate the true bleeding edge of 21st century financial innovation.
Responsibilities
- Develop and enhance software systems that interact with complex data sets from DeFi protocols and blockchain networks, focusing on scalability, efficiency, and reliability.
- Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development.
- Engage in the full software development lifecycle, from design through deployment, with a keen eye on data-centric applications.
- Employ advanced software engineering practices to ensure code quality, system security, and performance in data-intensive environments.
- Work closely with cross-functional teams to translate data insights into actionable improvements and features within our platform.
- Stay ahead of the curve with emerging technologies and methodologies that can drive innovation in DeFi data analysis and data/ml engineering.
- Spearhead the documentation and dissemination of technical knowledge within the team and the wider DeFi community.
Qualifications
- A minimum of 4 years in software engineering, with significant exposure to data-intensive applications.
- Proficiency in Python, Rust and SQL, with a solid understanding of software engineering principles.
- Experience with OLAP databases (e.g., BigQuery) and familiarity with data transformation tools (e.g., DBT).
- Knowledge of workflow orchestration (e.g., Dagster) and distributed data processing technologies (e.g. Spark).Strong problem-solving skills, with the ability to work collaboratively in a distributed team setting.
- Passion for DeFi and the broader crypto ecosystem, with a willingness to immerse oneself in the space.
- Strong communication skills and the ability to work collaboratively in a distributed team environment
Bonus Points
- Experience working in the crypto industry is a big plus but not required.
- Enthusiasm for the space, especially DeFi, is very much desired.
- Background in smart contract development (e.g., Solidity) or contributions to the DeFi community through research or open-source projects.
- Experience with building data platforms at scale
Benefits and Perks
- Remote first - work from anywhere in the US & CAN!
- Regular in-person company retreats and cross-country "office visit" perk
- 100% paid medical, dental and vision premiums for employees
- Laptop, monitor, keyboard and mouse setup provided
- $1,000 WFH stipend
- Monthly reimbursement for home internet, phone, and cellular data
- Unlimited vacation
- 100% paid parental leave of 12 weeks
- Fertility benefits
- Opportunity for incentive compensation
Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.
The national pay range for this role is $160,000 - $180,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.
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