Automation Test Engineer
NTT Data
Job Title
NTT DATA is seeking an experienced professional to support the quality assurance and validation of front-office trading and financial applications.
Key Responsibilities
The role includes:
- Test Automation Development
- Design, develop, execute, and maintain automated test scripts and frameworks for front-office trading applications.
- Build reusable automation components to improve test efficiency and coverage.
- Support continuous testing initiatives within Agile and DevOps environments.
- Functional, Regression & Integration Testing
- Execute functional, regression, integration, and end-to-end testing activities.
- Validate trade lifecycle workflows, order processing, execution management, and market data integrations.
- Ensure application stability, performance, and accuracy across releases.
- Defect Management & Quality Assurance
- Analyze test results and identify application defects, performance issues, and process gaps.
- Collaborate with development teams to investigate, prioritize, and resolve defects.
- Participate in root-cause analysis and remediation activities.
Required Qualifications
The candidate should have:
- Experience
- Minimum 5 years of experience in software testing and quality assurance.
- Minimum 3 years of hands-on test automation experience within financial services, capital markets, or trading environments.
- Minimum 2 years of experience testing front-office applications, including trading platforms, OMS, EMS, or market data systems.
- Technical Skills
- 5 years of strong experience with automation frameworks such as Selenium, TestNG, JUnit, Cypress, Playwright, or similar enterprise automation tools.
- Minimum 3 years of programming/scripting experience in one or more of Python, Java, or JavaScript.
- Experience with API testing tools such as Postman, REST Assured, or equivalent.
- Familiarity with CI/CD and DevOps tools including Jenkins, Git, Azure DevOps, GitHub Actions, or similar platforms.
- Experience with defect tracking and test management tools such as JIRA, ALM, or Xray.
- Education
- Bachelor's degree in Computer Science, Engineering, Information Technology, Finance, or a related discipline.
- Master's degree or relevant professional certifications are advantageous.
Vacancy posted 4 days ago
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