Senior Java Automation QA: AI-Driven Retail & API Testing

EPAM Systems; Colombia; Remote; COP 198,695,000 - 298,043,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

LinkedIn Learning access

Job summary

EPAM Systems, Inc. is seeking a hands-on Senior Java Automation Test Engineer with strong retail/eCommerce experience to drive quality across Web/UI, Mobile, APIs, Data and integrations.

You will design and execute tests across multiple domains, apply AI/LLMs for test design and analysis, and work with Product, Engineering and Data QE teams to ensure release readiness. You will contribute to end-to-end quality, perform data validation, and troubleshoot data pipelines while collaborating with

Qualifications

• 3+ years of QE experience in retail/eCommerce or related domain.
• Hands-on testing across Web, Mobile, API/Backend, and Data.
• Experience with CI/CD, Git, and cloud/data platforms.
• Proficiency with Generative AI, LLMs, and agentic QE workflows.

Responsibilities

• Contribute to end-to-end quality from requirements through production readiness.
• Design and execute tests across Web/UI, Mobile, API/Backend, Data, and integrations.
• Apply AI/LLMs for test design, impact analysis, and productivity improvements.
• Perform SQL/data validation and troubleshoot data/integration issues.

Skills

Retail domain knowledge

Web/UI testing

Mobile testing

API/Backend testing

Data validation

CI/CD tooling

Cross-functional collaboration

Tools

Playwright

Selenium

Appium

API automation frameworks

SQL

Git

Job description

EPAM Systems, Inc. is seeking a hands-on Senior Java Automation Test Engineer with strong retail/eCommerce experience to drive quality across Web/UI, Mobile, APIs, Data and integrations.

You will design and execute tests across multiple domains, apply AI/LLMs for test design and analysis, and work with Product, Engineering and Data QE teams to ensure release readiness. You will contribute to end-to-end quality, perform data validation, and troubleshoot data pipelines while collaborating with