Note: The job is a remote job and is open to candidates in USA. Signify Technology is a US-based technology non-profit in the healthcare space, seeking a Software Engineer II to join their integrations team. In this role, you will build and maintain API-to-API integrations and collaborate with senior engineers and customers to ensure successful project execution.

Responsibilities

• Design, build, and maintain integrations using Rhapsody, following established engineering best practices
• Communicate with customers and external technical partners to gather integration requirements and translate them into working solutions
• Contribute to the development of scalable healthcare integration architecture alongside the wider team
• Write technical documentation and provide training so integrations can be monitored and troubleshot effectively
• Work with Product to contribute technical input during solution definition, including participation in requirements documentation
• Take part in on-call (PagerDuty) responsibilities on a rotating basis
• Contribute to team rituals including kickoffs, retrospectives, and technical debt reviews

Skills

• 3+ years of hands-on software engineering experience with JavaScript and at least one other programming language
• 3+ years building, maintaining, and scaling backend systems, APIs, and services
• Solid fundamentals across the software development lifecycle — design patterns, object-oriented architecture, coding best practices
• Experience working in teams where automated testing is a standard part of development
• Strong written and verbal communication skills, particularly in a fully remote environment
• Must be based within the United States
• Experience developing healthcare integrations using FHIR and/or HL7 standards
• Familiarity with mainstream EHR platforms such as Epic, eClinicalWorks, AthenaHealth, or NextGen
• Experience with JavaScript/TypeScript, Ruby on Rails, Postgres, or Google Cloud Platform
• Hands-on experience with Mirth and/or Rhapsody Integration Engine
• Background working alongside data teams and applying foundational data concepts

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