Lead Software Engineer, Clinical Decision Support

athenahealth•Boston, MA

2d•$143,000 - $243,000•Hybrid

About The Position

athenahealth is hiring a Lead Software Engineer to help shape its Clinical Decision Support (CDS) software. Based in Boston, this hybrid role provides technical leadership for a cross-functional engineering team delivering high-quality software intended to improve healthcare outcomes. The position reports to an Engineering Manager. The CDS team builds mission-critical solutions that provide healthcare providers with timely, actionable clinical guidance within their workflows, supporting preventive care, disease management, and patient safety. The Lead Software Engineer will guide technical execution, own designs, help ensure implementation aligns with architectural standards and business goals, and build scalable, maintainable, well-tested software. The role also involves developing subject-matter expertise in clinical rules, patient data, and point-of-care workflows; collaborating with product, design, clinical stakeholders, and other engineering teams; and using AI-assisted tools and exploring generative AI to improve delivery and customer outcomes.

Requirements

At least 6 years of software engineering experience and a strong product development background.
Proven experience leading full-stack development teams, including technical mentoring and design oversight.
Proficiency in React, modern frontend architecture, HTML, CSS, JavaScript, and Java.
Experience with generative AI and AI-assisted software engineering tools.
Solid experience with relational databases and data modeling.
Experience designing and supporting APIs and working across distributed systems and evolving architectures, including monolith and microservices environments.
Strong communication, ownership, and accountability, with a track record of adopting new technologies.

Nice To Haves

Experience with Clinical Decision Support (CDS), rules engines, or healthcare interoperability standards such as FHIR and Clinical Quality Language (CQL).
Experience with GraphQL and Unix/Linux.
Exposure to legacy technologies in large-scale production environments.

Responsibilities

Lead the design, development, and delivery of high-quality software within an agile cross-functional team.
Own technical designs and guide implementation in alignment with architectural standards and business goals.
Build scalable, maintainable, well-tested software using modern engineering best practices.
Provide technical leadership through code reviews, mentoring, and support for sound design decisions.
Regularly use AI-assisted software tooling to increase throughput, effectiveness, and quality.
Evaluate opportunities to use generative AI in customer-facing solutions.
Develop strong knowledge of the CDS domain, including clinical rules, patient data, and point-of-care workflows, and serve as a technical subject-matter expert.
Partner with product, design, clinical stakeholders, and adjacent engineering teams to translate clinical requirements into practical, scalable solutions.
Own deliverables and coordinate cross-team efforts to ensure successful execution.
Mentor engineers, provide technical guidance, and foster learning and continuous improvement.
Communicate complex technical concepts clearly to technical and non-technical audiences.
Strengthen collaboration across product, clinical stakeholders, and engineering by clarifying issues, surfacing risks early, and supporting timely, informed decisions.

Benefits

Health and financial benefits.
Commuter support.
Employee assistance programs.
Tuition assistance.
Employee resource groups.
Collaborative workspaces; some offices welcome dogs.
Work-life flexibility.
Annual discretionary bonus plan, variable compensation plan, and equity plans, depending on role eligibility.
Company-sponsored events, including book clubs, external speakers, and hackathons.

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