Middle QA Automation Engineer (Java)

TL;DR

Middle QA Automation Engineer (Java): Designing and maintaining automated test frameworks for web applications and microservices with an accent on test reliability, CI/CD integration, and quality standards. Focus on implementing robust automation strategies, collaborating with cross-functional teams, and leveraging AI-powered tools to enhance testing productivity.

Location: Must be based in the European Union region and possess a valid work permit.

Company

hirify.global is a global AI-first digital transformation and engineering partner with over 25 years of experience, delivering scalable products and data-driven solutions for international clients.

What you will do

• Design, develop, and maintain automated test frameworks for web applications and microservices.
• Collaborate with developers and product teams to ensure high-quality software delivery.
• Create and execute reliable automated test scenarios across functional and non-functional areas.
• Contribute to the continuous improvement of testing processes and CI/CD practices.
• Ensure software quality through effective test automation, analysis, and defect prevention.

Requirements

• Must be based in the European Union region with a valid work permit.
• 4+ years of experience in test automation.
• Strong knowledge of Java.
• Hands-on experience with Playwright, Selenium, and RestAssured.
• Practical experience using AI-powered assistants to improve productivity and quality.
• Commercial experience testing web applications and microservice-based systems.

Nice to have

• Experience applying GenAI within the SDLC, including prompt patterns or tool integrations.
• Familiarity with agent-based workflows and AI-augmented development.
• Knowledge of TDD/BDD, performance, security, or accessibility testing.

Culture & Benefits

• Focus on engineering excellence and a people-first culture.
• Opportunities for growth and knowledge sharing within a global team of experts.
• Exposure to leading technologies including AWS, Azure, GCP, Databricks, and Snowflake.
• Continuous focus on professional development and modern engineering practices.

Hiring process

• CV review.
• HR call.
• Technical interview.
• Client interview.
• Final decision.