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5 часов назад

Lead Product Engineer (AI/.NET)

139 900 - 199 300$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Lead Product Engineer (AI/.NET): Building enterprise-grade, cloud-native financial services applications and executing Azure migration strategies with an accent on .NET, C#, SQL Server, and AI-assisted development. Focus on modernizing legacy systems, implementing intelligent automated testing, and delivering production-grade code through CI/CD without relying on separate testing groups.

Location: West Los Angeles, California, United States; structured hybrid with a minimum of three days per week in the office.

Salary: $139,900–$199,300 per year.

Company

hirify.global provides smart money management and payment solutions.

What you will do

  • Lead the design, development, and deployment of enterprise-grade applications with .NET, C#, and SQL Server.
  • Architect and execute Azure migration, re-platforming, and legacy-system modernization initiatives.
  • Build and optimize cloud-native solutions using Azure services such as AKS, Cosmos DB, App Services, and Functions.
  • Use AI copilots and generative AI to define specifications, iterate on user flows and architectures, and write, refactor, and test code.
  • Develop intelligent testing frameworks that generate test cases, predict bugs, and support self-healing.
  • Mentor junior engineers and promote cloud engineering, automated testing, and AI-assisted development best practices.

Requirements

  • 8+ years of software engineering experience focused on .NET and C#.
  • Strong SQL Server and database design skills.
  • Experience with Azure migration and cloud-native application development.
  • Experience with automated testing, TDD, CI/CD pipelines, and API testing tools.
  • Familiarity with AI code assistants such as GitHub Copilot or Claude.
  • Must currently reside in West Los Angeles, CA and be legally authorized to work in the United States without current or future sponsorship.

Nice to have

  • Microservices, containerization, and container orchestration experience.
  • Azure DevOps and related Azure tools knowledge.
  • Exposure to AI/ML concepts, CNCF projects, and technical leadership with offshore teams.
  • Strong ownership, communication, and production-quality engineering practices.

Culture & Benefits

  • Structured hybrid work model with remote flexibility on non-office days.
  • Agile environment with AI-enhanced development workflows.
  • Inclusive and accessible hiring process with accommodations available upon request.

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