Lead Software Engineer, Services and Tasks

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

State the Business Title Lead Software Engineer, Services and Tasks Role Summary The Lead Software Engineer will lead full-stack development efforts across clinical workflow solutions, combining hands-on engineering with technical leadership and design oversight. This hybrid role is based in Boston, MA, and supports the development of scalable, reliable software using React, JavaScript, HTML, CSS, Java, APIs, relational databases, and distributed systems.

The role also includes evaluating and applying generative AI and AI-assisted software engineering tools to improve productivity and quality. This position will report to the Senior Engineering Manager. Team Summary The Clinicals Services & Tasks team owns the end-to-end arc of clinical work at the point of care - from the moment an order is created, through the documents that inform and result from it to the tasks that carry that work to completion across the practice.

The team supports the systems and workflows that help clinicians and care teams move efficiently through complex work while reducing friction and cognitive load. This includes building and maintaining stable platform capabilities, improving user-facing workflows, and ensuring the underlying services can support dependable performance m members work across application layers, service boundaries, and data models to improve the experience of clinical work from initiation to completion.

Essential

Job Responsibilities Lead full-stack engineering efforts across React-based frontend applications, Java services, and supporting APIs. Provide technical mentorship, architectural guidance, and design oversight to engineers on the team. Develop and maintain features using HTML, CSS, JavaScript, React, and modern frontend architecture patterns. Design and support APIs and service integrations across distributed systems, including monolith and microservices environments. Build and optimize relational data models and database-backed application functionality.

Collaborate with product, design, and engineering partners to translate requirements into maintainable technical solutions. Evaluate and apply generative AI and AI-assisted software engineering tools to improve development workflows, code quality, and delivery efficiency. Drive technical decisions that strengthen scalability, reliability, maintainability, and system clarity. Troubleshoot production issues, identify root causes, and support durable fixes across application layers. Travel as needed to support team or business needs.

Additional

Job Responsibilities Contribute to planning and prioritization discussions for team delivery. Support code reviews and promote consistent engineering practices. Partner with cross-functional teams to improve workflow clarity and implementation alignment. Help refine engineering standards, documentation, and team operating practices. Assist in evaluating legacy technologies and migration paths in large-scale production environments. Explore GraphQL, Unix/Linux, and other tools or technologies that may improve platform capabilities.

Participate in incident response and operational follow-up when needed. Recommend improvements to developer productivity, deployment workflows, and testing practices. Share knowledge across the broader engineering organization through informal mentoring and technical discussions. Expected Education & Experience Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. 6 years of experience in software engineering or full-stack application development.

Demonstrated experience leading full-stack development teams, including technical mentoring and design oversight. Proficiency with React, modern frontend architecture, and core web technologies including HTML, CSS, and JavaScript. Strong programming experience in Java. Experience working with generative AI and AI-assisted software engineering tools in day-to-day development workflows. Solid experience with relational databases and data modeling. Experience designing and supporting APIs and working across distributed systems and evolving system architectures, including monolith and microservices environments.

Exposure to GraphQL, Unix/Linux environments, and legacy technologies in large-scale production systems is a plus. Strong communication skills, ownership, and…