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9 дней назад

Senior Backend Engineer, Platform Enablement (AI)

156 800 - 235 200$
Формат работы
remote (только USA)
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
Senior Backend Engineer, Platform Enablement (AI): Building reusable backend platforms, performance-testing tooling, self-service workflows, and AI-assisted engineering capabilities for development teams with an accent on performance analysis, diagnostics, documentation, and scalable platform adoption. Focus on enabling teams to own performance testing through development and CI workflows, generalizing hands-on support into reusable capabilities, and solving complex performance and tooling challenges.

Location: Remote, United States; applicants must be residents of the United States for the listed salary range.

Salary: $156,800–$235,200 USD per year

Company

hirify.global provides an intelligent orchestration platform for DevSecOps that helps organizations improve developer productivity, operational efficiency, security, compliance, and software delivery.

What you will do

  • Build and evolve reusable backend platforms and tooling for performance testing and analysis.
  • Create self-service workflows, documentation, templates, diagnostics, and AI-assisted engineering capabilities.
  • Enable feature teams to run performance testing through their development and continuous integration workflows.
  • Improve performance results, reporting, and trend visibility so teams can make decisions from their own evidence.
  • Influence engineering teams to integrate performance testing into development and release preparation.
  • Provide technical expertise for difficult performance questions, tooling enhancements, and new platform capabilities.

Requirements

  • Experience building backend or platform software, internal platforms, or developer-facing tooling.
  • Experience partnering with development teams to improve day-to-day workflows.
  • Experience applying AI across implementation, testing, debugging, documentation, or automation.
  • Experience with software performance, including analysis, optimization, benchmarking, or performance-related improvements.
  • Practical experience with Kubernetes, k6, and AWS, GCP, or similar cloud infrastructure.
  • Ability to build durable solutions for broad adoption, communicate clearly in writing, and influence teams without direct authority.

Culture & Benefits

  • Fully remote work with asynchronous collaboration across research and development.
  • Flexible paid time off.
  • Health, financial, and well-being benefits.
  • Equity compensation and employee stock purchase plan.
  • Growth and development fund, parental leave, and team member resource groups.

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