Full Stack Software Engineer

Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com. 

Lantern is a specialty care navigation company connecting more than 10 million members with the highest-quality surgery, oncology, and infusion therapy providers. Our curated Network of Excellence delivers 55%+ cost savings versus average health plan rates while maintaining a surgical complication rate below 1%. We were ranked #3 on Fast Company’s Most Innovative Companies 2026 in healthcare.

We are transforming from a technology-enabled health services company into a Health AI company, where technology and AI sit at the forefront of everything we build. Engineering is a strategy maker, not an order taker. If you want your code to change how specialty care is delivered at scale, this is the team.

As a Software Engineer on the full stack, you will own features end-to-end, from the React interfaces our members and provider partners use to the Python or .NET services and data models behind them. You will ship AI-first experiences on Azure, backed by our data platform, and set the technical bar for the engineers around you.

This is a hands-on IC role. You will lead workstreams, drive code and design reviews, and make pragmatic architecture decisions. We deliver incrementally: every initiative articulates a first deliverable within four weeks. We ship fast through automation and testing, never by cutting corners, because quality and reliability are non-negotiable in healthcare.

• →Design, build, and operate full-stack features end-to-end across React front ends and Python or .NET back-end services.
• →Model and query relational data in PostgreSQL or SQL Server, with a focus on correctness, performance, and data quality.
• →Build and run services on Azure, provisioned and managed as code with Terraform.
• →Embed AI into the products you build, integrating LLM and AI capabilities into member and provider experiences and internal tooling.
• →Work with our data platform (Databricks) and engineering partners to treat data as a first-class strategic asset with automated PHI governance.
• →Lead technical design and code reviews, and raise the quality bar through testing, observability, and CI/CD automation.
• →Break large problems into incremental deliverables, shipping a first useful increment within four weeks.
• →Partner directly with product, design, and clinical stakeholders as an equal owner of product decisions.
• →Uphold security and HIPAA/PHI obligations by design, building safe-by-default systems rather than treating security as a gate.

• 5+ years of professional software engineering experience building and operating production web applications.
• Strong front-end skills with React and modern JavaScript/TypeScript.
• Strong back-end skills in Python or .NET (C#), including designing and consuming REST and event-driven APIs.
• Solid relational database experience with PostgreSQL or SQL Server, including schema design and query optimization.
• Hands-on experience deploying and operating workloads on Azure.
• Infrastructure-as-code experience with Terraform.
• Experience with CI/CD, automated testing, and containerized deployment (Docker, Kubernetes/AKS).
• Demonstrated AI curiosity and fluency: you use AI tools in your daily work and are eager to build AI-powered features.
• A track record of owning work end-to-end and delivering incrementally in a fast-moving environment.

• Experience building AI or LLM-powered product features in production.
• Experience with data platforms such as Databricks, and with data pipelines feeding analytics or ML.
• Experience in healthcare, or another regulated domain, handling sensitive data such as PHI under HIPAA.
• Full comfort across both Python and .NET, and both PostgreSQL and SQL Server.
• A habit of mentoring peers and elevating team standards without formal authority.