Posted 1mo ago

Senior Application Developer (56073)

@ ApolloMD
Atlanta, Georgia, United States
HybridFull Time
Responsibilities:designing applications, developing applications, maintaining integrations
Requirements Summary:5+ years building backend or full-stack production software; experience with TypeScript/Node.js, Postgres, REST APIs, cloud platforms, AI-assisted development tools, and working with data pipelines and healthcare integrations.
Technical Tools Mentioned:TypeScript, Node.js, Postgres, REST APIs, GCP, Azure, AWS, GitHub Copilot, Cursor, Tabnine, Claude, Claude Code, Codex, Snowflake, dbt, HL7, X12, FHIR, CI/CD, ELT
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Job Description

About ApolloMD



ApolloMD partners with more than 100 hospitals nationwide to provide integrated, multispecialty physician, APC and practice management services in Emergency Medicine, Hospital Medicine, Anesthesia, and Revenue Cycle Management. Our high touch, solution-based approach emphasizes quality, efficiency, communication and patient experience. ApolloMD works collaboratively with partner facilities to implement best practices and process improvement across the board in a cost-effective manner. Learn more about our growing team at apollomd.com.



Position Summary



We’re looking for a senior, hands-on developer to design, build, and support applications that power core healthcare workflows and internal tools.



This is a high-ownership role on a small, fast-moving team. You’ll work closely with product, clinical, and engineering stakeholders to take ideas from concept to production.



The ideal candidate is a technically strong leader who is pragmatic, comfortable with ambiguity, and able to independently drive initiatives from concept through production support. This role partners with the Director of Technology Delivery & Innovation, business stakeholders, IT Operations, Data Management, and external vendors to deliver scalable, secure, and reliable solutions. The role operates within a hybrid on-prem and cloud environment, ensuring applications integrate with enterprise ELT pipelines and align with established data architecture standards that support trusted analytics, automation, and AI-enabled decision-making.