Quality Assurance Automation Engineer (Java)

Huxley is a recruitment agency helping top talent find exciting roles in the fintech industry.

Salary: $45,000 USD

Automation QA Engineer (Hybrid)

About the Role

manual and automated testing

Key Responsibilities

Automated Testing

• Design and maintain automation frameworks for backend services, APIs (REST/gRPC), and microservices.
• Develop automated regression and functional test suites.
• Integrate automated tests into CI/CD pipelines using tools such as GitLab, Jenkins, and Gradle.
• Validate distributed architectures through mock/stub strategies.
• Modernize test strategies for legacy systems.
• Implement robust logging, debugging, and reporting mechanisms.

Manual Testing

• Plan, design, and execute tests for complex workflows in the credit lifecycle.
• Conduct exploratory testing to identify usability and functional issues.
• Review specifications and collaborate with stakeholders to improve overall quality.

Process Improvement & Collaboration

• Standardize QA best practices across the organization.
• Recommend and implement new QA tools and frameworks.
• Mentor junior QA engineers and lead quality improvement initiatives.
• Analyze production issues, identify root causes, and implement preventive measures.

Required Qualifications

• 5+ years of experience in QA or test automation.
• Strong development and automation skills in object-oriented languages,

  primarily Java

  .
• Hands-on experience with backend/API automation tools (e.g., REST Assured, gRPC).
• Proficiency with testing frameworks such as JUnit, TestNG, and AssertJ.
• Familiarity with CI/CD tools (GitLab, Jenkins, Gradle).
• Experience with mocking frameworks (e.g., Mockito).
• Ability to automate using scripting languages (Python, Shell).
• Deep understanding of QA processes, test planning, and bug management.
• Experience working in an agile development environment. (Coding challenge required during selection process.)

Preferred Qualifications

• Experience automating batch jobs and working with legacy systems.
• QA experience in mission-critical or financial systems.
• Familiarity with container environments (Docker/Kubernetes).
• Knowledge of performance testing tools (JMeter, Gatling).
• Experience with QA management tools (Zephyr, TestRail, TestLink).
• QA certifications (e.g., ISTQB).