Senior Software Engineer, Specialties
athenahealth
- Location
- Boston, Massachusetts, United States of America
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Posted
- Sep 18, 2026
Skills
About this role
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Join athenahealth as a Senior Software Engineer in the Specialties Zone, where you’ll design and build scalable, secure, and maintainable software that powers clinical workflows for specialty practices. In this Boston-based hybrid role, you’ll work as a full-stack engineer and own solutions across the entire software development lifecycle—from technical design and implementation through testing, deployment, monitoring, and production support. You’ll partner closely with product, design, and adjacent engineering teams to deliver high-impact capabilities that help healthcare providers work more efficiently and deliver better patient care.
Team
Summary The Specialties Zone builds mission-critical clinical solutions used by healthcare providers every day. Our products support the distinct needs of specialty practices and care settings—including Women’s Health, Behavioral Health, Ambulatory Surgery Centers, Physical Therapy, Orthopedics, and more—helping providers simplify complex workflows, make informed clinical decisions, and deliver efficient, personalized care. Our collaborative, mission-driven team is passionate about improving healthcare outcomes through technology. We foster an environment of continuous learning and innovation in which engineers take ownership of quality across the full software development lifecycle. We are also evolving how we build software—shifting from manual, ticket-by-ticket implementation toward a spec-first, AI-accelerated workflow in which engineers focus on domain correctness, architecture, system constraints, and edge cases. You’ll work closely with product, design, and adjacent engineering teams to deliver practical, scalable solutions aligned with customer and clinical needs. Essential Job Responsibilities Design, develop, test, deploy, and support high-quality software as part of an agile, cross-functional product team. Work as a full-stack engineer across frontend, backend, APIs, data, and cloud infrastructure. Own features across the entire software development lifecycle, including requirements refinement, technical design, implementation, automated testing, deployment, monitoring, troubleshooting, and ongoing production support. Develop strong knowledge of specialty clinical workflows to improve technical decision-making, ticket triage, dependency mapping, and cross-team coordination. Contribute to and help evolve team practices, including design reviews, feature readouts, agile ceremonies, code review standards, and testing strategy. Use Claude Code, OpenAI Codex, and similar AI-assisted or agentic development tools throughout the software development lifecycle, including requirements refinement, codebase exploration, implementation planning, code generation, refactoring, test creation, debugging, documentation, and first-pass code review. Critically evaluate, debug, and refine AI-generated code, tests, designs, and recommendations rather than accepting outputs at face value. Mentor other engineers on effective engineering practices and the responsible use of AI tools, including prompt design, context management, output verification, and recognizing when an LLM-based tool should not be used. Additional Job Responsibilities Build and maintain automated unit, integration, and end-to-end tests as part of feature development. Use AI-assisted approaches to strengthen testing, including test generation, coverage analysis, identification of edge cases, and validation of expected behavior. Explore and apply technologies such as GraphQL to extend product and platform capabilities. Monitor application health and performance and use AI-assisted tools to accelerate troubleshooting and root-cause analysis. Identify opportunities to use Claude Code, OpenAI Codex, and other LLM-powered tools to reduce repetitive engineering work, accelerate codebase