Hiring: Senior Software Engineer, Billing Workflows - athenaCollector Company: athenahealth Location: Boston, MA Job Posted Time: 2026-09-10 13:09:44 Employment Type: Full-time Target Skills & Keywords : AWS, Agile, Docker, EC2, GitHub, GraphQL, Java, Kubernetes, LLM, PostgreSQL, React, Revenue Cycle Management, Spark, Spring Boot, Terraform About the job Experience: •4+ years of engineering experience in a product development organization. •Solid backend experience in Java and Spring Boot. •Demonstrated, hands-on use of AI coding assistants or agentic dev tools (e.g., Claude Code, GitHub Copilot, Cursor) in a real production workflow, not just casual experimentation. •Genuine motivation to adopt and improve AI-driven workflows, comfort with prompt iteration, evaluating and correcting AI-generated code. •Demonstrated capacity to critically assess AI output. Required Skills: •Work spec-first: translate clear specifications and acceptance criteria into well-tested, reviewable changes and push for sharper upstream requirements, so AI tooling and human review both operate faster and with less ambiguity. •Use AI coding assistants and agentic tools (e.g., Claude Code, Codex or similar) throughout the SDLC for scaffolding, code generation, test authoring, and first-pass code review while retaining full ownership of correctness, security, and maintainability of everything that ships. •Critically evaluate, debug, and refine AI-generated code and tests against domain requirements, security standards, and system constraints. •Prototype LLM-assisted features for internal developer productivity and client-facing product capabilities, and help define safe, usable patterns for applying AI within a healthcare-regulated environment. •Build deep domain expertise in claims and RCM to accelerate ticket triage, dependency mapping, and cross-team coordination. •Contribute to and evolve team practices, like design reviews, feature readouts, agile ceremonies, code review norms, testing strategy. •Mentor engineers on effective and responsible use of AI tools, including prompt design, verifying outputs, and knowing when not to rely on AI. •Support integration and deployment using AWS EC2, Docker, and Kubernetes, using AI tooling to accelerate infrastructure-as-code work (e.g., Terraform). Qualifications: •Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience. Compensation: •$119,000 - $203,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!