Data & Models Software Engineer, Gauntlet

$150-180k

Plus additional On Target Earnings potential by level and equity in the company

SQL
Python
Rust
Spark
BigQuery
Solidity
dbt
Mid and Senior level
Remote in Canada, US
Los Angeles
New York
San Francisco Bay Area

More information about location

Gauntlet

Financial modeling & simulation platform for blockchains

Open for applications

Gauntlet

Financial modeling & simulation platform for blockchains

21-100 employees

FintechB2BFinancial ServicesBlockchain

Open for applications

$150-180k

Plus additional On Target Earnings potential by level and equity in the company

SQL
Python
Rust
Spark
BigQuery
Solidity
dbt
Mid and Senior level
Remote in Canada, US
Los Angeles
New York
San Francisco Bay Area

More information about location

21-100 employees

FintechB2BFinancial ServicesBlockchain

Company mission

Gauntlet's mission is to bring trust to crypto, to drive understanding and participation in the financial systems of the future.

Role

Who you are

  • 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

Desirable

  • 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

What the job involves

  • 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
  • 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

Our take

Decentralized finance can be high-risk, and for a long time, it has lacked the asset management tools and resources of the traditional finance world. Gauntlet, a company founded by two former Wall Street and Uber veterans, solves this problem by acting as a DeFi quant platform.

The company's aim has been to bring financial modelling and simulation to the growing DeFi economy. This forward thinking has paid off, with Gauntlet now valued at around $1 billion and serving some of the world's biggest crypto protocols - a testament to the value of its modelling.

Despite existing in the increasingly competitive DeFi space, Gauntlet's impressive valuation and client roster is an indicator of its staying power. As more and more people make the shift from Wall Street to Web 3.0, the company should have no trouble finding new opportunity for growth. Recently, it unveiled "Gauntlet Applied Research", a new research division that will support DAOs in the research and resolution of pressing protocol challenges.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

38% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

Mar 2022

$23.8m

SERIES B

Jun 2021

$13.6m

SERIES A

Total funding: $44.6m

Company benefits

  • Remote first - work from anywhere!
  • 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
  • 100% paid parental leave of 12 weeks
  • Fertility benefits
  • Opportunity for incentive compensation

Company values

  • Strong ownership - Awareness of knowing why you are doing something drives results
  • Build trust through data and research - We continuously seek to develop novel insights to help us expand and improve our Product
  • Drive clear value - We focus on solutions that work quickly but are also iterative
  • Be open and honest, even when it is not easy - We ask people to speak up for what they believe in and what they think will move the company forward
  • Intellectual curiosity and fearlessness - We are self-motivated to learn new things about the space and our part to play in it
  • Hire and develop top talent - We want to work with exceptional individuals from a diverse set of backgrounds, skills, and experiences

Company HQ

Tribeca, New York, NY

Leadership

Was a Scientific Associate and Programmer at D. E. Shaw Research, before working in Quantitative Research & Development at Vatic Labs.

Worked as a Quant Trader at Getco, and then as a Portfolio Manager at 3Red Trading. Was also a Senior Software Engineer at Uber.

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