Gauntlet - Software Engineer

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 most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.

Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among 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 75 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.

Gauntlet App:

Join a newly formed product pod focused on the Gauntlet App — our next-generation dApp that allows users to deposit and withdraw into vaults directly. This role is part of a critical initiative to evolve our dashboard into a product directly connected to revenue. You'll be working on a high-impact project tightly aligned with Gauntlet’s core strategy, helping build a robust, user-facing experience at the heart of our business.

Responsibilities:

• Lead the design, development, and maintenance of full-stack features for Gauntlet’s decentralized application, ensuring high performance and scalability

• Partner closely with front-end engineers to deliver cohesive and well-integrated user experiences

• Provide technical leadership and mentorship to other engineers, fostering collaboration and knowledge sharing

• Engage in systems design and architecture discussions to build robust backend services supporting the application

• Participate actively in code reviews and design sessions, promoting best practices and high-quality code standards

• Collaborate with product managers and researchers to translate requirements into effective technical solutions

• Diagnose, troubleshoot, and resolve complex software issues to maintain system reliability and performance

• 5 years of professional experience in software development, with a focus on full-stack engineering.

• Strong proficiency in TypeScript for full-stack development

• Proven ability to design and implement user-centric applications, emphasizing seamless user experiences.

• Solid experience with backend systems and APIs, including systems design and architecture

• Familiarity with Python or the ability to be language agnostic

• Proven ability to collaborate effectively with others engineers and mentor team members

• Excellent problem-solving and analytical skills with a focus on application development lifecycle

• Strong communication skills and the ability to work collaboratively in a distributed team environment

Bonus Points:

• Interest or experience in DeFi concepts like decentralized applications (dApps) and on-chain interactions

• Familiarity with financial technology (fintech) products and user experiences.

• Previous work on applications that handle monetary transactions or sensitive user data.

• Familiarity with application development lifecycle from end to end

• Experience developing and shipping user-facing features using component-based UI frameworks such as React

• History utilizing, at any level, technologies and languages like Solidity or Rust

• Experience working in smaller teams or startups, demonstrating broad technical versatility

• Background working with data pipelines or tooling, including ETL processes, orchestration tools and integrating data flows in production environments