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2 часа назад

Senior Software Engineer, Enterprise Engineering (AI Analytics)

183 000 - 276 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/UK/Singapore +4 еще
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
Senior Software Engineer, Enterprise Engineering (AI Analytics): Building and improving customer-facing software and platform features across production systems, with an accent on backend, infrastructure, debugging, and direct customer problem ownership. Focus on tracing complex system behavior, shipping durable fixes across unfamiliar parts of the stack, and improving observability, APIs, tooling, and reliability.

Location: San Francisco, CA; hybrid

Salary: $183,000–$276,000 annual total target cash for the San Francisco Bay Area

Company

hirify.global is an AI analytics platform used by thousands of companies to analyze, test, and optimize digital products and experiences.

What you will do

  • Serve as the engineering front line for key enterprise customer accounts using the Unthread Slack aggregation and workflow layer.
  • Investigate technical questions by reading code, tracing behavior, inspecting production signals, and explaining findings clearly.
  • Diagnose and fix bugs, validate outcomes with customers, and implement product or platform features when appropriate.
  • Coordinate urgent technical responses in customer Slack channels while retaining ownership through resolution.
  • Represent engineering in customer office hours and recurring account meetings, partnering with customer-facing and product teams.
  • Identify recurring issues and improve tooling, documentation, observability, APIs, product surfaces, and the operating model of the new team.

Requirements

  • Strong software engineering experience and the ability to contribute production-quality code in a large, evolving codebase.
  • Generalist engineering experience with depth in backend systems, distributed systems, infrastructure, data systems, or developer platforms.
  • Strong debugging skills, including reproducing imprecise reports, identifying root causes, and implementing robust fixes.
  • Experience reasoning about production behavior using logs, traces, metrics, and code.
  • Clear, empathetic communication with technical and non-technical stakeholders, plus sound judgment during urgent situations.
  • High ownership, low ego, and comfort working across team and system boundaries.

Culture & Benefits

  • Culture centered on humility, ownership, growth mindset, and customer centricity.
  • Medical, dental, and vision insurance, with employer-paid premiums on select plans.
  • 401(k) retirement plan with employer match, flexible time off, and paid holidays.
  • Stipends for wellness, commuting, learning and development, and home-office equipment.
  • Paid parental leave, fertility and adoption support, backup childcare, and mental health benefits.
  • Employee Stock Purchase Program, mentorship, charitable giving grants, and paid volunteer time off.

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