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Innovaccer is seeking a Senior Software Development Engineer III (Full Stack) to join its healthcare platform engineering team. The role focuses on building scalable, reliable, and intuitive products that solve meaningful problems in healthcare data integration and AI-assisted workflows.
Innovaccer's platform helps hospitals, clinics, and health insurance companies consolidate scattered patient data from multiple systems into actionable insights. The company recently partnered with AWS to scale AI agents that automate manual healthcare workflows—such as appointment scheduling, insurance paperwork preparation, and clinical note drafting—enabling healthcare staff to focus on patient care.
In this role, you will:
- Design, build, test, and ship scalable frontend and backend applications end-to-end
- Own features from problem understanding and design through development, testing, deployment, and production support
- Apply AI-assisted software development practices throughout the engineering lifecycle, using tools like Cursor, GitHub Copilot, or Claude Code to accelerate development, improve code quality, generate tests, and debug issues
- Embrace AI Development Life Cycle (AIDLC) practices and evolve how software is designed, developed, tested, deployed, and operated in an AI-native environment
- Think systemically about how your work impacts the broader platform and customer experience
- Drive improvements in performance, scalability, reliability, security, and engineering quality
- Collaborate with Product, Design, AI, and Engineering teams to turn ambiguous problems into simple, scalable solutions
- Proactively identify technical challenges and drive solutions with ownership and initiative
- Contribute to engineering excellence through design reviews, code reviews, testing, documentation, and mentoring
The company serves major US healthcare systems including CommonSpirit Health, Atlantic Health, and Banner Health.
REQUIREMENTS:
Must-have:
- 6+ years of software engineering experience with strong ownership mindset
- Solid backend experience with Python, Java, Node.js, or similar technologies; production-grade service building experience
- Strong JavaScript/TypeScript, HTML, and CSS skills
- Strong ReactJS or modern frontend framework experience
- Good understanding of REST APIs, RDBMS, NoSQL databases, distributed systems, and cloud-native architectures
- Experience building and integrating end-to-end full-stack applications
- Hands-on experience using AI coding tools (Cursor, GitHub Copilot, Claude Code, or equivalent); comfortable using AI as a coding partner, not just a chatbot
- Understanding of AIDLC and AI-native software development practices, including AI-assisted coding, test generation, debugging, code review, documentation, and iterative development
- Strong problem-solving skills with ability to diagnose complex problems and develop creative, pragmatic solutions
- Strong system-thinking mindset—understanding not just how something works, but why and how it impacts the larger system
- Strong bias for action, ownership, curiosity, and continuous learning
- Judgment to balance progress over perfection, knowing when to move fast and when to go deep
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
Good to have:
- Hands-on experience building Agentic AI applications or workflows
- Experience with LLMs, RAG, tool calling, MCP, AI agents, agent orchestration, or multi-agent systems
- Experience integrating AI capabilities into production applications
- Familiarity with evaluating, monitoring, and improving AI-powered systems
- Experience with AWS, Azure, or GCP cloud platforms
