Lead Fullstack Developer - AI, Cloud & Hybrid Poland

EPAM Systems, Inc.; Kraków; Hybrid; PLN 220,000 - 380,000; Full time

Benefits offered by this job

Health insurance

Relocation opportunities

Employee stock purchase plan

Professional development

Job summary

EPAM Systems, Inc. seeks a Lead Fullstack Developer to drive end-to-end design, development, and deployment of scalable web applications.

You will guide cross-functional teams, implement best practices for quality, testing, DevOps, and AI integration, and collaborate with product and UX stakeholders to deliver measurable value. The role emphasizes hands-on Node.js on the backend, React or Angular on the frontend, and hands-on cloud experience across AWS, GCP, or Azure, including AI-enabled

Qualifications

• 5+ years of commercial software development experience with a strong track record of shipping fullstack applications.

Responsibilities

• Lead the end-to-end design, development, and deployment of fullstack applications, ensuring performance, scalability, and security.
• Mentor and coach cross-functional developers, establishing best practices around code quality, testing, DevOps, and AI integration.
• Collaborate with product, UX, and business stakeholders to translate requirements into technical solutions that deliver measurable value.
• Evaluate and integrate AI/ML services where appropriate, optimizing workflows and customer experiences through automation and intelligence.

Skills

Leadership

AI integration

Code quality

Agile teamwork

Tools

Node.js

React

Angular

Docker

Kubernetes

AWS

GCP

Azure

CI/CD

Job description

EPAM Systems, Inc. seeks a Lead Fullstack Developer to drive end-to-end design, development, and deployment of scalable web applications.

You will guide cross-functional teams, implement best practices for quality, testing, DevOps, and AI integration, and collaborate with product and UX stakeholders to deliver measurable value. The role emphasizes hands-on Node.js on the backend, React or Angular on the frontend, and hands-on cloud experience across AWS, GCP, or Azure, including AI-enabled