Senior Full‑Stack Developer (AI‑Native Mindset)

Senior Full‑Stack Developer (AI‑Native Mindset)

AT&T

Brno or Bratislava

About the Role

As a Senior Full‑Stack Developer, you will play a leadership role in building strategic tools and platforms for INLAP, setting the standard for AI-native engineering. You’ll architect robust features end-to-end, mentor team members in best practices and AI-driven workflows, and help drive automation, productivity, and excellence across the team.

Responsibilities

• Architect, deliver, and maintain high-quality front-end (Angular/TypeScript) and backend (Node.js) solutions for critical internal tools and dashboards
• Lead integration with complex enterprise APIs and systems (e.g., GitHub, Jira, monitoring, Kubernetes)
• Champion the use of AI development tools and best practices (automated refactoring, test generation, code review) to maximize delivery velocity and code quality
• Set and reinforce engineering standards—design, testing, security, maintainability, and operational excellence
• Coach and mentor junior and medior developers; facilitate code reviews and guide team technical growth
• Collaborate closely with stakeholders to translate operational needs into scalable, production software
• Drive continuous improvement across CI/CD, monitoring, operational automation, and documentation

Required Skills

• Deep experience with TypeScript, Angular (including shared library/component architecture), and Node.js
• Strong background in REST API design, OpenAPI standards, and enterprise integration
• Proficient in agentic workflow/orchestration frameworks (Python experience a major plus)
• Mastery of Git workflows, collaborative software delivery, and Agile engineering practices
• Demonstrated leadership in adopting and evolving AI-driven development tooling (e.g., Copilot, Claude, automated testing tools)
• Excellent mentoring, technical communication, and cross-functional collaboration skills

Nice to Have

• Significant experience with cloud monitoring/logging stacks, CI/CD, and Kubernetes/containers
• Database architecture (SQL/NoSQL) and performance optimization expertise
• History of building internal tools/dashboards/operational automation at scale
• Emphasis on secure coding practices and enterprise environment delivery