Senior Backend Engineer, Data Platform at Uniswap
Senior Backend Engineer, Data Platform at Uniswap

Senior Backend Engineer, Data Platform at Uniswap

Job Category
Engineering
Commitment
Full-time
Location
New YorkRemote

Uniswap is looking to hire a Senior Backend Engineer, Data Platform to join the team.

The Uniswap Protocol is the largest decentralized trading and automated market making protocol (often called a DEX, “Decentralized Exchange”) on Ethereum.

The Uniswap Labs team was a major contributor to the Uniswap Protocol and now focuses on building a suite of products to support the Uniswap Labs ecosystem. Our team is one of the most impactful in crypto. We are based out of SoHo in New York City with the option to be partially or fully remote depending on the position.

The Uniswap Protocol is the largest decentralized trading and automated market making protocol (often called a DEX, “Decentralized Exchange”) on Ethereum.

The Uniswap Labs team was a major contributor to the Uniswap Protocol and now focuses on building a suite of products to support the Uniswap Labs ecosystem. Our team is one of the most impactful in crypto. We are based out of SoHo in New York City with the option to be partially or fully remote depending on the position.

We see the Uniswap Protocol as the rails that a more equitable financial system will be run on. We are looking for a creative full stack engineer to help us create the tools and experiences that allow the next 1M developers build on top of the protocol towards that vision.

In this role you’ll be responsible for architecting and implementing a sustainable, consistent, and high-quality developer experience through improved documentation platforms, APIs, SDKs and smart contracts.

A great candidate is passionate about building delightful developer experiences, has experience developing across the modern web stack and can autonomously structure a project from the ground up with modern best practices and appropriate abstractions.

Responsibilities

  • Design and build end-to-end data infrastructure to support ML products
  • Lead discussions with product and design to rapidly iterate, experiment and launch products
  • Design and build systems with an eye for performance & scalability
  • Own products end to end and work across the stack as needed, including backend, infrastructure, UI, testing, etc.
  • Mentor team members on engineering best practices and career development

Requirements:

  • 5+ years of software engineering experience
  • Experience building data infrastructure that supports production ML systems.
  • Experience building and maintaining a production system at scale
  • Experience with AWS, GCP or similar cloud providers
  • Deep understanding of the architecture of modern applications
  • Experience leading and aligning cross-functional stakeholders such as designers, engineers, and product managers to launch products
  • Desire to keep up with modern best practices in software development/Web3, and shape our tech stack as we build out new systems and services

Nice to have:

  • Experience in machine learning applications such as recommendation systems, search, spam filtering, etc.
  • Love for unicorns :)

Uniswap Labs’ benefits include unlimited and encouraged time off, 100% company-paid medical, dental, & vision for you and your dependents, 401(k) participation, annual $1,500 education stipend, up to 16 weeks paid parental leave, home office setup stipend for remote employees and daily lunches at NY headquarters (all benefits are subject to applicable taxes and based on eligibility).

Uniswap Labs is proud to be an equal opportunity employer (EEO). We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability (including gender dysphoria and similar gender-related conditions), sex, gender identity or expression, sexual orientation (including actual or perceived heterosexuality, homosexuality, bisexuality, and asexuality), veteran status, military status, domestic violence victim status, reproductive health decision making or any other protected category.

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