Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry. We are a rapidly growing IT services company offering an award-winning culture that values talent and ambition. Our vision is to be the most trusted technology partner for our clients and the preferred choice for top industry professionals.

We specialize in complex, mission-critical applications, leveraging cutting-edge technologies such as Application & Product Engineering, Data & Analytics, Cloud, DevOps, and Quality Engineering across financial services, healthcare, transportation & logistics, and professional services sectors. At Iris, every role is a launchpad for growth, supported by a culture that emphasizes ownership, impact, and continuous learning.

Accelerate automation initiatives across Enterprise Risk (ER) applications, transforming high-volume regression scenarios into robust Python-based solutions. Identify and prioritize high-ROI test scenarios for automation.

Develop and extend shared utilities, including table comparators, SQL generators, and DDL validators. Leverage AI tools like GitHub Copilot for efficient SQL and script generation.

Generate automated coverage and stability reports to ensure application quality and reliability. Collaborate effectively with cross-functional teams to achieve project goals.

We are seeking experienced SDETs with 5-7 years of experience, possessing strong expertise in Python, advanced SQL (including joins, transformations, and reconciliation logic), and ETL testing. The ability to interpret mapping/TSD documents and derive comprehensive test scenarios is essential.

Mandatory competencies include a strong background in QA/QE Automation with Python, Rest Assured, basic build and deployment in CI/CD environments, Test-Driven Development (TDD), and database testing using SQL/Oracle. Experience in Risk Management within QE, manual QA with Zephyr, Playwright, and PL/SQL is also required.

Ideal candidates will demonstrate strong analytical and debugging capabilities, thrive in data-intensive and fast-paced environments, and possess effective communication skills for cross-functional collaboration. Familiarity with ETL/Data Warehouse testing across various layers, schema/DDL validation, table-to-table comparisons, and AI tools like GitHub Copilot is advantageous.