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Product Engineer (Analytics as a Service)

123 800 - 230 000$
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

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TL;DR
Product Engineer (Analytics as a Service) (Fullstack/SaaS): Building cloud-native analytics services across backend services, APIs, data pipelines, user interfaces, cloud infrastructure, and analytics capabilities with an accent on AI-assisted, specification-driven development and customer-focused delivery. Focus on designing scalable, secure, observable software, rapidly validating customer needs, and delivering high-quality production releases with strong automated test coverage.

Location: Rochester, NY, United States

Salary: 123800.00–230000.00 USD per year

Company

hirify.global is a public precision-technology company, while its Qualitrol business develops monitoring and protection devices and information products for high-value electrical assets.

What you will do

  • Design, develop, and maintain cloud-native analytics services.
  • Build backend services, APIs, data pipelines, user interfaces, cloud infrastructure, and analytics capabilities.
  • Apply AI-assisted, specification-driven practices across software design, coding, testing, documentation, troubleshooting, and code reviews.
  • Work with Product Owner and Customer Success to understand customer needs, validate assumptions, prototype rapidly, incorporate feedback, and deliver frequent releases.
  • Participate in architecture discussions, peer reviews, and continuous platform improvement.
  • Collaborate with SaaS Architecture, DevOps, Customer Success, and commercial leadership.

Requirements

  • 5+ years of professional software development experience.
  • Experience developing SaaS applications and using cloud-native architectures.
  • Strong full-stack development skills.
  • Experience with Agile software delivery and fast-paced product organizations.
  • Ability to build secure, reliable, observable, maintainable, well-tested, and highly scalable software.

Nice to have

  • Microsoft Azure or AWS experience.
  • Kubernetes and modern web frameworks.
  • Distributed systems, industrial IoT, or data analytics platform experience.
  • AI-assisted software development experience.

Culture & Benefits

  • Approximately 10% travel, including periodic customer visits.
  • Collaborative engineering culture focused on rapid execution and continuous learning.
  • Success is measured through production quality, release cadence, automated test coverage, AI-assisted development adoption, customer adoption, and platform improvement.
  • Equal opportunity employer committed to diversity and reasonable accommodations.

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