Full-Stack Engineer (Elixir + React)

As a Full-Stack Engineer (Elixir + React), you will play a key role in designing and developing modern veterinary software that serves thousands of users in animal hospitals across the globe. Engineers in this role often take ownership of projects and have the ability to take on larger and more complex features and bugs. You will work closely with a small, cross-functional, highly-collaborative team to deliver quality software that solves real problems for our customers. Our teams have a deep understanding of their domains and work to deliver value with minimal overhead. We prize excellence, creativity, and accountability and in return provide autonomy and an environment to do your best work.

Responsibilities

• Own software projects from scoping to release
• Design efficient, reliable and scalable solutions
• Build software using Elixir, React and associated technologies
• Define work for and mentor more junior team members
• Lead collaboration with product, engineering and QA teammates to deliver quality software in a timely manner
• Research and solve complex customer issues
• Keep up-to-date with and lead conversations around industry best practices for design, development, unit testing and other aspects of software engineering

Requirements

Must have:

• Willingness to work hours fully aligned with New York business hours.
• Deep knowledge of Elixir for back-end development
• Knowledge of Typescript and React for front-end development
• Experience building modern SaaS applications
• Ability to break complex problems into actionable and efficient work
• Team-first attitude, including a strong desire to mentor teammates and build effective, lightweight work patterns
• Strong communication skills in a remote work environment
• Commitment to quality driven by empathy for our customers and their patients
• Detail-oriented and organized in your work

Nice to have:

• Experience using AWS to build, deploy and troubleshoot applications
• Proven experience with relational databases, including using good design patterns and building and tuning efficient queries/data access