2 дня назад
Engineering Manager - Quality and Delivery (AI)
150 289 - 225 434$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager - Quality and Delivery (AI): Leading customer onboarding and production operations for a healthcare payer platform with an accent on delivery predictability, engineering quality, and reliability. Focus on executing Azure-to-AWS migration and ecosystem integration, managing incidents and technical debt, and establishing durable AI-assisted engineering practices.
Location: Remote within the United States
Salary: $150,289–$225,434 base salary per year
Company
AI-first healthcare technology company developing a platform that improves payment accuracy and reduces waste across the healthcare ecosystem.
What you will do
- Own end-to-end engineering delivery for new customer implementations, including sequencing, staffing, dependencies, risks, and commitments.
- Lead production health activities, incident response, root cause analysis, defect reduction, observability, alerting, and operational readiness.
- Deliver platform integration work and the team’s scope of the Azure-to-AWS migration while maintaining availability and customer experience.
- Set standards for code review, testing, CI/CD, automated testing, release practices, data access controls, and auditability.
- Establish and improve AI-assisted development practices across coding, testing, review, debugging, and documentation.
- Hire, coach, retain, and develop engineers while maintaining accountability and healthy technical debate.
Requirements
- 8+ years of software engineering experience.
- 3+ years managing engineering teams with ownership of delivery, hiring, performance, and development.
- Ability to independently review designs and code, assess API and data boundaries, and evaluate migration and reliability tradeoffs.
- Experience delivering predictably against external commitments and deadlines.
- Experience operating production systems with real customers, including incident response, quality management, and customer-impacting escalations.
- Hands-on familiarity with AI-assisted development tools and team-level adoption practices.
Nice to have
- Experience with both AWS and Azure, including multi-cloud or cross-cloud migrations.
- Experience delivering enterprise B2B SaaS products with implementation or onboarding cycles.
- Experience working with regulated or sensitive data.
Culture & Benefits
- Remote work arrangement within the United States.
- Inclusive environment focused on collaboration and shared accountability.
- Work on AI-enabled healthcare technology and large-scale platform modernization.
- Base salary is supplemented by a broader total rewards package.
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