Lead QA Automation Engineer - Python, Big Data, AI-Assist

EPAM Systems, Inc.; Poland; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Multisport

Employee stock purchase plan

Relocation opportunities

Job summary

EPAM Systems, Inc. seeks a Lead QA Automation Engineer with proven leadership in QA automation teams and strong Big Data testing expertise.

You will hands-on automate with Python and guide a team across complex enterprise applications, APIs, and Big Data systems. The role involves designing robust test frameworks, integrating automation into CI/CD, mentoring junior engineers, and leveraging AI-assisted tools for test design and efficiency improvements.

Qualifications

• 8+ years of experience in QA automation with leadership in QA automation teams.
• Strong experience with Big Data testing and distributed data validation.
• Expertise in Selenium for browser automation and web tech (HTML/CSS/JS).
• API testing using Postman and Requests library; CI/CD integration in pipelines.

Responsibilities

• Lead the QA automation team with technical guidance and mentorship.
• Design, develop, and maintain robust automated test frameworks using Python and PyTest/Robot Framework.
• Oversee test planning, execution, and reporting for web, API, and Big Data applications.
• Collaborate with development, product, and DevOps to integrate automation into CI/CD pipelines.
• Define automation strategy, review code, and drive adoption of best practices.

Skills

QA automation

Big Data testing

Selenium

API testing

Python

CI/CD

Leadership

Mentoring

AI-assisted test design

Tools

Postman

Requests

Git

Jenkins

GitLab CI

Job description

EPAM Systems, Inc. seeks a Lead QA Automation Engineer with proven leadership in QA automation teams and strong Big Data testing expertise.

You will hands-on automate with Python and guide a team across complex enterprise applications, APIs, and Big Data systems. The role involves designing robust test frameworks, integrating automation into CI/CD, mentoring junior engineers, and leveraging AI-assisted tools for test design and efficiency improvements.