| Job Description: |
ROLE_DESCRIPTION -
We are seeking a Junior SDET with strong fundamentals in Python and Java, hands‑on test automation experience, and a growing interest in AI‑assisted quality engineering. The ideal candidate will have exposure to Azure environments and Azure DevOps pipelines, with wealth management / financial services domain knowledge considered a strong added advantage.
This role provides an opportunity to work on enterprise‑grade applications, modern CI/CD pipelines, and AI‑enabled QA practices under the guidance of senior SDETs.
Key Responsibilities
Automation & Quality Engineering
Design, develop, and maintain test cases based on project requirements
Participate in requirement review, defect triages and represent QA
Execute test cases , report bugs using Azure Devops/Jira or similar tools
Automate test scripts using Python and/or Java as required
Contribute to UI automation (Selenium / Playwright)
Execute automated regression suites and analyze failures
AI‑Assisted Testing
Use AI tools (GitHub Copilot, Copilot agents, AI assistants) to:
Accelerate test case creation
Improve automation code quality
Analyze test failures and logs
Apply AI responsibly with human review and validation
Learn prompt‑engineering best practices for QA use cases
Backend & Data Validation
Perform basic data validation using SQL and Python
Validate API responses, database records, and file‑based data (CSV/JSON)
Support senior SDETs in backend and data quality testing efforts
Required Skills & Qualifications
Core Technical Skills
Programming:
Hands‑on experience with Python and Java
Automation Testing:
Experience with Selenium / Playwright or similar tools
Familiarity with test frameworks (PyTest, JUnit, TestNG)
API Testing:
Basic understanding of REST APIs and JSON
Databases:
Working knowledge of SQL for validation and troubleshooting
CI/CD & Version Control:
Git fundamentals
Exposure to Azure DevOps pipelines is a strong plus
AI & Modern QA Mindset
Experience or strong interest in AI‑assisted development/testing
Ability to use AI tools to improve productivity and test coverage
Clear understanding that AI supports—not replaces—engineering judgment
Azure & DevOps (Added Advantage)
Work within Azure environments (Azure App Services, Azure SQL, storage, etc.)
Integrate and execute tests using Azure DevOps pipelines
Understand build/release workflows, test execution stages, and reporting
Assist with test result publishing and defect traceability in Azure DevOps
Domain Knowledge (Added Advantage)
✅ Wealth Management / Financial Services experience, including exposure to:
Investment platforms
Client onboarding / account opening
Financial data validation and reporting
Regulatory or compliance‑driven systems
Skills: Data Migration Testing~Modern Functional Quality Engineering
Experience Required: 6-8
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