Principal Software Engineer, Healthcare Platform

Salud Healthcare

Salud Healthcare is transforming how value-based care is delivered by empowering provider organizations with data-driven insights, modern technology, and operational excellence. As a rapidly growing Management Services Organization (MSO), Salud partners with physician groups to improve patient outcomes, optimize clinical performance, and navigate the complexities of value-based care. Our technology platform serves as the connective tissue between providers, payers, analytics, and operations—helping healthcare organizations close care gaps, improve quality outcomes, and drive better financial performance.

We are building the next generation of healthcare applications that power population health management, risk adjustment, care coordination, analytics, and provider engagement.

Salud Healthcare is seeking a Principal Software Engineer to help architect, build, and scale the technology foundation that powers our value-based care platform.

This is a hands‑on, player‑coach role for an experienced engineer who enjoys balancing software development, technical leadership, architecture, and mentorship. You will serve as a key technical partner to the VP of Technology & Data Analytics, helping transform healthcare business requirements into scalable software solutions that support providers, payers, and operational teams.

You will lead development across a portfolio of healthcare applications spanning population health analytics, care management, risk adjustment, provider engagement, and operational workflows. While this role includes leadership responsibilities, we are specifically looking for someone who remains close to the code, enjoys solving complex technical problems, and can lead through technical credibility rather than organizational hierarchy.

The ideal candidate brings a strong combination of healthcare technology experience, software architecture expertise, and practical engineering leadership. They understand how healthcare data moves through systems, can navigate provider and payer workflows, and possess the judgment to build durable solutions that balance immediate business needs with long‑term platform scalability.

Success in this role will be measured by your ability to establish scalable technical foundations, deliver production‑ready applications, improve engineering practices, reduce technical debt, and serve as a trusted technical advisor across technology, analytics, operations, and executive leadership.

• Partner with the VP of Technology & Data Analytics to influence architecture decisions, platform strategy, and technical direction.
• Lead architectural design reviews across Salud's growing application portfolio.
• Design scalable systems supporting healthcare workflows, analytics platforms, and operational applications.
• Establish engineering standards around APIs, authentication, observability, reliability, and maintainability.
• Evaluate technical tradeoffs and provide recommendations balancing speed, scalability, and long‑term sustainability.
• Serve as a trusted technical advisor across engineering, analytics, operations, and executive leadership.

• Remain actively involved in software development and contribute production‑quality code.
• Lead engineering efforts across internal and external‑facing healthcare applications.
• Design and build backend services, APIs, orchestration layers, workflow automation systems, and healthcare data integrations.
• Collaborate closely with analytics, operations, and product stakeholders to translate healthcare business requirements into scalable software solutions.
• Ensure all applications meet security, compliance, and performance requirements.

• Build and maintain integrations across EMRs, claims systems, payer data, and operational healthcare platforms.
• Design scalable approaches for ingesting, normalizing, and operationalizing healthcare data.
• Support interoperability initiatives leveraging HL7, FHIR, CCDA, claims data, and healthcare industry standards.
• Partner with analytics and data engineering…