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Software Engineer (Healthcare)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US

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Описание вакансии

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TL;DR
Software Engineer (Healthcare): Building resilient, scalable, and performant healthcare payment solutions for the Aware platform with an accent on Java, Spring, NodeJS, VueJS, AWS, and distributed web application architecture. Focus on designing full-stack services, developing REST APIs and automated tests, and solving complex healthcare problems across scalable backend and frontend systems.

Location: Atlanta, GA, US

Company

Waystar provides a cloud-based healthcare payments platform that helps providers streamline revenue-cycle workflows and improve financial performance.

What you will do

  • Design and implement resilient, scalable, and performant solutions for complex healthcare problems.
  • Develop across the full application delivery stack using Java, Spring, NodeJS, VueJS, AWS, and related technologies.
  • Build scalable web applications, backend services, REST APIs, and integrations with distributed systems.
  • Participate in technical and product discussions with engineering, product, and business leaders.
  • Apply strong design, communication, ownership, and problem-solving practices independently and collaboratively.
  • Continuously improve engineering quality through testing, automation, and Shift Left practices.

Requirements

  • Bachelor’s degree in Computer Science or a related field.
  • At least 3 years of software development experience.
  • Strong knowledge of computer science fundamentals, including algorithms, data structures, and system design.
  • Professional experience with Java, Spring, NodeJS, JavaScript or TypeScript, SQL, relational databases, and REST APIs.
  • Experience with VueJS, React, Angular, or another modern frontend framework, plus automated testing with tools such as JUnit, TestNG, Jest, or Vitest.
  • Understanding of version control, continuous integration, distributed systems, test automation, and effective technical communication.

Nice to have

  • Experience with generative AI, machine learning, and predictive algorithms.
  • Knowledge of statistics and the healthcare domain.
  • Experience with Kafka or other distributed event-streaming platforms.
  • Experience with data pipeline technologies.

Culture & Benefits

  • Competitive total rewards with base salary and potential bonus.
  • Customizable medical benefits, including Health Savings Account company matching.
  • Paid time off, paid holidays, and paid parental leave.
  • Education assistance and free LinkedIn Learning access.
  • 401(k) program with company match, pet insurance, and mental health and family planning support.

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