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Gauntlet

Software Engineer for Platform

Gauntlet, San Francisco, CA


Gauntlet is DeFi's risk manager. We drive capital efficiency while maintaining economic safety for some of the largest crypto protocols with our simulations. Gauntlet manages risk and incentives for over $9 Billion in assets.

Gauntlet continuously publishes cutting-edge research, making us the most cited peer-reviewed articles in the DeFi industry. We're a Series B company with ~60 employees operating remote-first with a home base in New York City.

Gauntlet's mission is to help make blockchain protocols and smart contracts safer and more trustworthy for users. Building decentralized systems creates new challenges for protocol developers, smart contract developers, and asset holders that are not seen in traditional development and investing.

Responsibilities
    • Design, build, and maintain robust, scalable systems for data from DeFi protocols, blockchain networks, and various other data sources
    • Contribute to making our platform world-class
    • Collaborate with stakeholders to understand their system requirements and provide the necessary support to help their productivity.
    • Implement quality control measures to ensure system integrity and quality
    • Actively participate in code and design reviews, providing constructive feedback to peers and maintaining high coding standards
    • Keep up-to-date with the latest industry trends, technologies, and best practices to ensure the continuous improvement of the platform
    • Contribute to the creation of technical documentation and user guides
    • Troubleshoot, diagnose, and resolve software defects, ensuring optimal system performance and reliability


Qualifications
    • At least 4 years of professional development experience. More is better, but we're flexible. We're hiring all levels Senior, Staff, etc.
    • Experience developing production quality software in Python, Rust, Go, C++, or other high-performance languages
    • Experience with distributed computation frameworks and related technologies such as Dagster, Kubeflow, Spark, TensorFlow, Flink, etc.
    • Experience with database design and building backend systems.
    • Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail.
    • Ability to work independently and within a team, manage multiple projects, and meet deadlines.
    • Strong communication skills and the ability to work collaboratively in a distributed team environment.


Bonus Points
    • Experience with building machine learning infrastructure.
    • Experience developing and shipping user-facing features
    • Smart contract development experience (e.g. Solidity)


Benefits and Perks
    • Remote first - work from anywhere!
    • Competitive packages with the added opportunity for incentive based compensation
    • 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 upon joining
    • $100 per month reimbursement for fitness-related expenses
    • Monthly reimbursement for home internet, phone, and cellular data
    • Unlimited vacation policy
    • 100% paid parental leave of 12 weeks
    • Fertility benefits


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 $150,000 - $200,000 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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