Note: The job is a remote job and is open to candidates in USA. Lyric is an AI-first, platform-based healthcare technology company, committed to simplifying the business of care. They are seeking an Engineering Manager to lead a team responsible for onboarding new customers and ensuring the quality and reliability of the healthcare payer platform.
Responsibilities
- Own end-to-end engineering delivery for new customer implementations – sequencing, staffing, dependencies, and commitments
- Surface delivery risks early, and make scope and quality tradeoffs explicit
- Partner with Product, Implementation, and Customer Success as the engineering point of contact for onboarding commitments
- Own production health for your team's surface area: incident response, root cause analysis, and durable fixes over one-off patches
- Drive down recurring defect and escalation volume; build mechanisms that prevent recurrence
- Improve observability, alerting, and operational readiness for the systems your team owns
- Balance customer-driven work against the technical investment needed to keep the platform maintainable
- Deliver your team's portion of platform integration work as the product joins a larger ecosystem
- Execute your team's scope of the Azure-to-AWS migration, following established architecture patterns and processes set by Architecture and DevOps
- Maintain availability and customer experience through migration and integration changes
- Set and hold a high standard for code review, testing, CI/CD discipline, automated testing, and release practices
- Ensure appropriate handling of sensitive customer and healthcare data, including access controls and auditability
- Keep technical debt visible and negotiate paying it down against delivery pressure
- Establish practical AI-assisted development process on your team – coding, testing, review, debugging, and documentation
- Steer usage through guardrails: repo-level agent instructions, prompt and context practices, and CI checks for common AI-generated defects
- Coach engineers on effective application of AI
- Evaluate what's actually working and adjust; make the practices durable so they don't depend on you personally driving them
- Hire, onboard, and retain strong engineers
- Give direct, timely feedback; address underperformance
- Delegate meaningful ownership and grow engineers into larger scope
- Build a team environment with real accountability and healthy disagreement
Skills
- 8+ years of software engineering experience
- 3+ years managing engineering teams, with direct ownership of delivery, hiring, performance, and development
- Demonstrated technical credibility: able to independently review designs and code, reason about API and data boundaries, evaluate migration and reliability tradeoffs, and challenge engineers on technical decisions
- Track record of predictable delivery against external commitments and deadlines
- Experience operating a production system with real customers – incident response, quality management, and customer–impacting escalations
- Hands-on familiarity with AI-assisted development tooling and a point of view on how to use it well within a team
- Working experience across both AWS and Azure, including multi-cloud or cross-cloud migration work
- Experience delivering enterprise B2B SaaS with implementation or onboarding cycles
- Experience working in an environment with regulated or sensitive data
Company Overview
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