Lead Application Support Engineer
Interrahealth
| Company | Interrahealth |
| Category | Engineering |
| Location | Boston |
| Remote | Remote |
| Employment | Not stated |
| Level | Lead |
| Salary | USD 150k–170k |
| Posted | 20 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
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 & Technical Triage
• Serve as the primary technical authority for production support code paths, hotfixes, and stability-focused enhancements, performing deep-dive technical triage across the full application stack.
• Analyze logs, traces, database queries, and application behavior to identify root causes rapidly and accurately.
• Develop and communicate clear workarounds to minimize customer impact while permanent fixes are in progress.
• Establish engineering standards for support-owned code, including testing
expectations, deployment safety and rollback strategy.
• Author and deploy targeted hotfixes with appropriate testing and change control,
coordinating production releases on Azure.
• Maintain SLA compliance and ensure accurate, timely ticket documentation
throughout the incident lifecycle.
Proactive Problem Management:
• Monitor production defect and incident patterns analysis to surface recurring or
systemic issues before they escalate.
• Build and maintain a problem registry; 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 & Engineering Collaboration:
• Actively engage with the engineering backlog to identify, scope, and prioritize tech debt items impacting platform stability and supportability.
• Contribute to or lead the remediation of targeted tech debt items during allocated engineering cycles.
• Act as a bridge between the support team's operational insights and the engineering team's roadmap priorities.
Team Leadership & Devel
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