2 дня назад
AI Augmented Software Engineer [gn] Data Intelligence Platform (Fullstack)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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