9 дней назад
Director, Software Engineering - Dev Ops (AI)
308 000 - 417 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Software Engineering - Dev Ops (AI): Leading operational excellence, modernization, data infrastructure, database engineering, and developer productivity for QuickBooks with an accent on platform resilience, scalable growth, and 99.99% availability. Focus on transforming CI/CD, automation, observability, data platforms, and AI-assisted engineering across business-critical assets.
Location: Mountain View, California, United States
Base pay: $308,000–$417,000 annually, with potential cash bonus, equity rewards, and benefits.
Company
A global financial technology platform providing products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Lead operational excellence and platform modernization across QuickBooks and IES, supporting 99.99% availability across more than 500 business-critical assets.
- Oversee data infrastructure, data engineering, reliable pipelines, aggregations, warehouse architecture, and trusted data platforms.
- Direct database engineering and administration, including schema design, performance, scaling, availability, governance, and operational readiness.
- Transform developer productivity through AI-assisted engineering, automation, shared platforms, CI/CD modernization, quality systems, and scalable tooling.
- Drive enterprise-wide operating-model change across engineering, product, data, design, security, infrastructure, finance, and business operations.
- Build and develop a leadership team while connecting platform health and modernization investments to customer growth and business impact.
Requirements
- Experience leading large-scale engineering or development organizations responsible for business-critical platforms and production health.
- Deep technical judgment across distributed systems, cloud-native architecture, data infrastructure, transactional databases, and platform operations.
- Experience with service-level objectives, incident management, observability, capacity planning, resiliency engineering, and modernization roadmaps.
- Strong understanding of data pipelines, data aggregation, warehouse design, governance, and data architecture.
- Experience improving engineering workflows through automation, AI-assisted development, CI/CD, testing, deployment, and developer enablement.
- Ability to lead complex transformation, develop managers and technical leaders, and influence cross-functional stakeholders.
Culture & Benefits
- Leadership role focused on customer outcomes, business impact, operational rigor, and sustainable growth.
- Opportunity to build AI-fluent, high-performing engineering teams.
- Competitive compensation with performance-based cash bonus eligibility.
- Potential equity rewards and employee benefits under applicable plans and programs.
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