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9 дней назад

Director, Software Engineering - Dev Ops (AI)

308 000 - 417 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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