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2 дня назад

AI Augmented Software Engineer [gn] Data Intelligence Platform (Fullstack)

Формат работы
remote (только Europe)
Тип работы
fulltime
Английский
b2
Страна
Europe
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
AI Augmented Software Engineer (Fullstack/Data Intelligence Platform): Building production features across backend services and frontend interfaces for a SaaS data intelligence platform with an accent on AI-assisted development, correctness, performance, and maintainable architecture. Focus on designing end-to-end solutions, building testable systems, troubleshooting production incidents, and integrating Scala or Java, TypeScript, Angular, AWS, Docker, Kubernetes, and CI/CD.

Location: Europe - Remote

Company

hirify.global develops an enterprise Data Intelligence Platform that connects metadata, data lineage, data quality, and business context through a knowledge graph.

What you will do

  • Design and implement full-stack features across backend services and frontend interfaces.
  • Use AI coding tools to accelerate development, explore solutions, improve tests, and reduce boilerplate while applying engineering judgment.
  • Contribute to technical design sessions and code reviews with a security-first mindset.
  • Participate in incident response and production troubleshooting.
  • Share knowledge through technical sessions, documentation, and AI-assisted development practices.
  • Collaborate with product managers to translate requirements into well-scoped technical solutions.

Requirements

  • Production experience as a full-stack engineer building and shipping features in SaaS environments.
  • Proven experience using AI coding assistants such as Claude Code or Cursor.
  • Practical knowledge of Scala or Java, TypeScript, and Angular, with willingness to grow across the stack.
  • Understanding of SaaS architecture and cloud fundamentals, particularly AWS.
  • Experience with Docker, Kubernetes, GitHub workflows, and CI/CD pipelines.
  • Full professional proficiency in English required.

Nice to have

  • Experience with data governance, data catalogs, or metadata management platforms in production.

Culture & Benefits

  • Autonomous, outcome-focused environment with short feedback loops and iterative delivery.
  • Collaboration with a diverse engineering team.
  • Competitive salary and benefits package.
  • Flexible remote or hybrid work arrangements.
  • Professional growth and development opportunities.

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