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3 дня назад

Staff Software Engineer (AI)

202 500 - 274 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Staff Software Engineer (AI): Building scalable Sandbox platform capabilities for Intuit’s products with an accent on distributed systems, cloud-native architecture, and intelligent AI-powered experiences. Focus on designing secure high-availability platforms, evaluating AI capabilities, and driving architectural alignment across products and engineering teams.

Location: Mountain View, California, United States

Salary: $202,500–$274,000 base pay annually in Mountain View; additional cash bonus, equity rewards, and benefits may apply.

Company

hirify.global is a financial technology platform providing products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Lead the design and delivery of foundational Sandbox capabilities for customers, partners, and developers across hirify.global products.
  • Drive end-to-end technology initiatives and horizontal platform capabilities spanning multiple products and engineering teams.
  • Architect and implement secure, scalable, reliable, and highly available cloud-native platform solutions.
  • Use AI to build intelligent Sandbox experiences, automate complex workflows, and accelerate platform innovation.
  • Define evaluation strategies and success metrics for AI-powered capabilities, covering customer experience, accuracy, and reliability.
  • Influence technical priorities, resolve cross-team dependencies, mentor engineers, and champion engineering practices in quality, testing, observability, security, and operations.

Requirements

  • 8+ years designing, developing, and delivering scalable software systems in large-scale enterprise environments, including 5+ years architecting distributed systems, cloud-native platforms, or enterprise business applications.
  • Strong hands-on backend engineering experience with Java, TypeScript, Spring Boot, Node.js/Express, and SQL/NoSQL databases.
  • Deep understanding of distributed systems architecture, API design, microservices, data management, performance optimization, reliability, and scalability.
  • Experience building and operating cloud-native applications on AWS or GCP, including cloud infrastructure, security, and operational excellence.
  • Experience with AI technologies and frameworks such as LLMs, LangChain, Amazon SageMaker, Google Vertex AI, Python, or prompt engineering.
  • Ability to design extensible platforms, developer tools, or environments for safe experimentation, testing, and integration.
  • Ability to translate complex business requirements and customer needs into durable technical solutions and influence architecture across teams.
  • Ability to mentor engineers through technical guidance, architecture reviews, and knowledge sharing.
  • Ownership of complex challenges beyond immediate team responsibilities, with continuous learning, experimentation, and adoption of emerging technologies.

Nice to have

  • Experience designing extensible Sandbox platforms, developer tools, or experimentation environments is highly desirable.

Culture & Benefits

  • Competitive compensation with a pay-for-performance rewards approach.
  • Potential eligibility for cash bonus, equity rewards, and benefits under applicable plans and programs.
  • Compensation considers job-related knowledge, skills, experience, and work location.
  • Ongoing pay comparisons across ethnicity and gender support fair pay practices.

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