Remote Lead Application Support Engineer

Who We Are: Interra Health is a fast-growing healthcare technology company transforming how providers and patients navigate the prescription journey. Formed through the merger of DoseSpot, Arrive Health, and pVerify, Interra Health delivers trusted eligibility, real-time coverage and pricing insights, prescribing tools, and pharmacy transparency at the point of care—helping providers make informed decisions and patients access the right medications with greater clarity and affordability. Backed by strong market momentum and a bold vision for the future of connected care, Interra Health offers the chance to join an innovative, mission-driven team working at the intersection of software and healthcare to reduce friction, improve access, and make the healthcare experience better for everyone.

The Role: We are looking for a hands-on and operationally minded Lead Developer to own the health, reliability, and continuous improvement of our mission-critical SaaS platforms. This role is intentionally designed for a senior engineer who writes production ready code, leads complex debugging efforts, and sets technical direction for how support-driven engineering work is executed while simultaneously mentoring and managing a team of application support engineers. You will work at the intersection of support, engineering, and operations: triaging escalated incidents, developing hotfixes, identifying systemic failure patterns, and partnering with engineering to reduce recurring issues at their root.

You bring a forward-looking mindset to a function that could otherwise be purely reactive — and you use modern AI-assisted tooling to make your team faster and smarter. Key Responsibilities: Incident Management translate patterns into actionable engineering proposals with clear business impact framing. • Drive post-incident reviews (PIRs) and own the follow-through on corrective action items. • Partner with the product and engineering teams to advocate for platform stability improvements based on real-world support data. AI-Augmented Support Operations: • Champion the adoption of AI and automation tools (e.g., Copilot, AI-assisted log analysis, LLM-based triage assistants) to accelerate issue diagnosis and resolution. • Lead development of internal knowledge bases, runbooks, and automated diagnostic playbooks to reduce mean time to resolution (MTTR). • Identify opportunities to automate repetitive support workflows and implement tooling improvements.

Technical Debt plus 13 paid holidays, paid sick leave, and paid parental leave ? Medical, dental, and vision insurance for you and your family, plus a company funded FSA