Full-Stack Engineer

Posted 8 Days Ago
New York, NY
110K Annually
Junior
Music
The Role
As a Full-Stack Engineer at HIFI, you'll architect and build new APIs, improve existing ones, and lead backend design discussions. You will focus on developing high throughput and reliable backend applications while debugging production issues and collaborating with the team. This role requires experience in designing scalable systems and working with payments software and blockchain.
Summary Generated by Built In

About us

HIFI is a next-generation payments platform. Our mission is to unleash the speed of blockchain into businesses everywhere. We bridge traditional and digital finance to make payments borderless, fast, and secure. Using our platform, businesses can gain access to online payments, global payments, digital wallets, and more with just a bank account. Our belief is that blockchain will eat the world and bring a new wave of innovation and HIFI will be at the forefront of this shift. We’re looking for smart, ambitious people to help us build a more inclusive financial system. We are backed by amazing VC's and investors including Antler VC, Blockchain Founders Fund, and Side Door Ventures (Plaid & SpaceX).

 

*Please note that this is an onsite role and only NYC based candidates will be considered.

 

The Role

As a senior software engineer focused on payments & banking at HIFI, you'll be working at the cutting edge of both payments software and blockchain infrastructure. You'll focus on architecting and building new API's as well as improving existing ones for a platform used by some of the largest companies.

 

Responsibilities

  • Own the end to end product lifecycle of identifying, designing, and building new payments features
  • Contribute and lead backend design discussions, stand up meetings, and code reviews
  • Develop and own best practices for backend application development with a focus on high throughput, high reliability, and low latency
  • Write stable, high coverage test cases for features you ship
  • Debug production issues across services and multiple levels of the stack
  • Collaborate with other engineers, founders, and designers

 

What We're Looking For

  • 1-3 years of relevant industry experience
  • BS/BA degree in Computer Science or relevant field
  • Experience designing, building, scaling and maintaining core backend software components (experience with API platforms a plus)
  • Ability to solve complex design, scaling, latency, or performance problems in high-throughput, low-latency systems
  • Experience with AWS technologies is a plus
  • Experience with production distributed systems, web applications, and microservice architecture
  • Experience developing with React, Typescript (Node), AWS, solidity, CSS and REST API's.
  • Proven track record building highly available and highly scalable systems
  • Self-starter attitude and the ability to execute new ideas with autonomy
  • Know how to find the right balance between excellence and shipping quickly
  • Web3 experience, a plus. Desire to work in Web3 a must.
  • Founded a company or built side projects, a plus
  • Experience in startups, a plus

 

We are always looking for incredibly talented people - if you don't see an open role for you, please reach out to [email protected].

 

At HIFI, we are focused on building a diverse and inclusive team. While you may not meet all of our requirements, we’d encourage you to apply if you meet the majority of our expectations. You may be a great fit for this role or another role in our team.

Top Skills

Node.js
React
Solidity
Typescript
The Company
0 Employees
Year Founded: 2012

What We Do

We live in an all access era - all media, all the time, on all devices. And yet, consumers are easily frustrated and retaining them is more difficult than ever. They long for delightful experiences, tailored to fit. What good is access to millions of songs or an entire library of films if they don't see what they want and have no time to look? Hifi's patent pending, predictive personalization engine leverages big data, machine learning and the interest graph, analyzing millions of characteristics and behavioral data points in real-time to recommend the perfect content for every moment, driving higher engagement, more user enjoyment and greater trust with the service delivering the experience.

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