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6 дней назад

Software Engineer, Platform Engineering (AI)

70 - 100$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
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
Software Engineer, Platform Engineering (AI): Building and scaling full-stack applications, backend services, internal tools, and workflows for business operations, products, and AI-driven infrastructure with an accent on React, Node.js, TypeScript, APIs, databases, and platform reliability. Focus on taking products from concept to production, optimizing architecture and performance, and solving complex production and scalability challenges.

Location: Remote

Salary: $70–$100 per hour

Company

hirify.global delivers software engineering and technology solutions for business operations, products, and AI-driven infrastructure.

What you will do

  • Build and scale full-stack applications with React, Node.js, and TypeScript.
  • Own features end to end, from architecture and development through production deployment.
  • Develop reliable backend services, REST APIs, performant frontend interfaces, and workflow tools.
  • Design and optimize databases, data models, and queries.
  • Improve platform reliability, performance, observability, and developer experience.
  • Collaborate with product, operations, and design teams while troubleshooting production issues.

Requirements

  • 4+ years of professional software engineering experience.
  • Strong hands-on experience with JavaScript or TypeScript, React, and Node.js.
  • Experience building and scaling products in high-growth startup environments.
  • Ability to take products from concept to production and work independently in ambiguous situations.
  • Experience with PostgreSQL or other relational databases, REST APIs, AWS, and modern backend architectures.
  • Regular use of AI coding tools such as Cursor or Claude Code.

Nice to have

  • Experience with NestJS, CI/CD, infrastructure as code, or DevOps.
  • Background in internal tools, developer platforms, or workflow automation.
  • Exposure to AI-powered or data-intensive products.
  • Familiarity with monitoring, observability, and system reliability.

Culture & Benefits

  • Remote work environment.
  • Ownership of deliverables and practical technical decision-making.
  • Commitment to equal employment opportunities and reasonable accommodations during hiring.
  • AI-assisted screening and assessment complement human decision-making.

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