The Role

Healthcare data is fragmented by default. Every provider, payer, EHR, referral source, and clinical system speaks a slightly different language. For Frontera to scale, both as a care delivery organization and as a technology platform, that fragmentation has to disappear behind a reliable, extensible integration and data layer.

As a Senior+ Software Engineer on our Integrations Platform, you'll be the technical lead for that layer, owning it end-to-end.

This role sits within our ML & Data organization because we don't view integrations as implementation plumbing. The systems we connect determine what data Frontera can access, how cleanly we can understand it, and ultimately what our product and AI systems can do with it. Every integration expands the number of organizations Frontera can work with, and adds breadth, fidelity, and context to the clinical data underlying the platform. That is the same longitudinal dataset that comes from operating real care alongside our own platform, not abstract transaction data.

This is a hands-on role. You'll spend roughly 70% of your time building, deep in the code and shaping architecture decisions, and the remainder working across Product, Clinical Operations, ML/Data, and external partners to make sure we're solving the right problems. You'll be the engineering owner for integrations from day one. Managing people is not a requirement at the start, but as integration volume and complexity grow, there's a clear path to growing the team and stepping into formal lead responsibilities.

What You'll Do

• Act as the tech lead for integrations, with end-to-end ownership of discovery, data mapping, implementation, reliability, observability, and long-term maintainability
• Own the integration architecture: design how Frontera connects with external healthcare systems (EHRs, partners, and other data sources), establishing reusable patterns and tooling rather than one-off builds for each new organization
• Identify which problems are worth solving, not just solve the ones you're assigned. You'll help define the right answer where the specification doesn't yet exist, working directly with external technical teams and internal stakeholders
• Bring an AI-informed lens to the work itself: use agentic tooling to accelerate data mapping and schema discovery across new partner systems, rather than treating each integration as a fully manual build. Judgment on when to automate discovery versus handle a partner's edge cases by hand is part of the craft
• Shape the unified data model underneath those integrations, in close partnership with ML/Data, Product, Engineering, and Clinical Operations
• Set clear standards for data quality, error handling, monitoring, and operational ownership as integration volume grows
• Help determine what should become platform capability versus what should be solved pragmatically for a specific partner or workflow
• Raise the technical bar for the team by mentoring engineers, setting working norms, and contributing to hiring as the function scales

Why This Matters

Better integrations mean faster onboarding of new organizations, less operational friction for clinicians and teams, and a more complete view of the care journey. They also improve the quality and usefulness of the data Frontera can learn from, because we operate care directly and that data reflects real clinical workflows and outcomes. As that dataset grows, it becomes increasingly important to how we evaluate care models, build AI systems, improve workflows, and differentiate the platform. This role is one of the foundational technical layers behind that scale strategy.

Qualifications

• 6+ years of experience in backend-leaning software engineering, with strong experience building APIs, integration systems, or distributed backend services
• Track record of owning technically complex projects end-to-end, with ownership that extends beyond your own lane
• Experience building and scaling integration platforms, APIs, or data pipelines in production environments
• Strong understanding of system design, distributed systems, and data flow between services
• Experience working with third-party integrations (e.g., healthcare systems, EHRs, SaaS platforms, or partner APIs) is highly preferred
• Comfortable operating in fast-paced, ambiguous, zero-to-one environments, moving between architecture, hands-on implementation, partner conversations, and product tradeoffs
• Experience mentoring or leading engineers, formally or informally, is a plus; we're looking for someone who can grow into leading a team
• Familiarity with agentic or AI-assisted tooling for tasks like schema mapping, data discovery, or accelerating integration work is a strong plus
• Strong product mindset, focused on building practical, reliable solutions that deliver real user and business impact
• Excellent communication skills and ability to drive alignment across technical and non-technical stakeholders
• Interest in healthcare and/or experience working with regulated data (HIPAA, PHI) is a plus

Compensation

This role is open to candidates across multiple levels. We're also open to candidates at more senior levels, and we'll adjust the level and compensation band accordingly. Final level and compensation will be determined through the interview process based on experience, technical depth, and scope.

Expected Salary Range in Denver: $160,000 to $220,000
Expected Salary Range in San Francisco: $175,000 to $240,000