Staff Software Engineer

Our client helps medical practices grow and scale by delivering exceptional patient experiences through cloud, data, and AI technologies. Leveraging deep clinical expertise and rich datasets, they build intelligent software that simplifies and automates clinical workflows. Their solutions improve operational efficiency while supporting high-quality patient care. With specialty-specific EHR, practice management, revenue cycle, and analytics platforms, they address the full needs of healthcare providers. Patient engagement, payments, and marketing tools further enhance practice performance. Today, they are trusted by over 40,000 providers to achieve clinical and operational excellence.

Responsibilities: 

• Lead the architecture and design efforts, aligning with future scalability and business objectives.
• Provide mentorship, set technical direction, and drive excellence in the team.
• Establish technical roadmap with cross-functional teams and stakeholders, ensuring alignment with business objectives.
• Simplify and break down complex requirements into manageable deliverables and milestones through development of technical specifications.
• Ensure deliverables meet the functional and non-functional criteria, and drive changes proactively where outcomes are misaligned.
• Promote a culture of continuous improvement by guiding other engineers through design, code, and operational reviews.

Requirements:

• Deep Expertise: 10+ years of software development experience, with at least 3 years in a formal technical leadership role. 
• The Java Stack: You are an expert in Java, Spring Boot, and SQL, with a proven track record of building distributed services that don't fail. 
• Cloud Native: Extensive experience with public cloud services (we prefer AWS) and a deep understanding of fault-tolerant, distributed systems. 
• Strategic Vision: You can zoom out to see the business objective and zoom in to solve a granular technical bottleneck. 
• Collaborative Leadership: Exceptional communication skills. You can explain architectural trade-offs to stakeholders and inspire engineers in the same hour. 
• Education: Bachelor’s or Master’s degree in Computer Science or a related technical field.