Role: Software Development Engineer in Test (SDET - 2)

Experience: 3-6 Years

Job Summary

We are seeking a highly skilled and proactive Software Development Engineer in Test (SDET) to drive quality engineering initiatives across Cybersecurity, AI/ML, Data Engineering, and Enterprise Applications. The ideal candidate will be responsible for designing, developing, and maintaining automation frameworks, validating end-to-end business workflows, ensuring data quality, testing AI-driven solutions, and integrating quality gates into CI/CD pipelines.

This role requires strong expertise in test automation, API testing, data validation, cloud-native applications, and modern DevOps practices.

Key ResponsibilitiesTest Strategy & Quality Engineering

- Review and analyze business requirements, system specifications, architecture designs, and technical documentation.
- Develop comprehensive test strategies, test plans, test scenarios, and test cases covering functional and non-functional requirements.
- Lead test reviews and ensure high-quality test coverage across applications, APIs, data pipelines, and AI solutions.
- Define quality metrics, testing standards, and best practices across projects.

Application & API Testing

- Validate web applications, backend services, microservices, and APIs.
- Design and execute automated UI, API, integration, regression, and end-to-end test suites.
- Perform cross-browser, cross-platform, and compatibility testing.
- Identify defects, perform root cause analysis, and work closely with engineering teams for resolution.

Data Engineering & Analytics Testing

- Validate ETL/ELT pipelines, data transformations, data integrations, and reporting systems.
- Develop automated data quality checks and reconciliation frameworks.
- Create and execute SQL-based validation scripts to verify data accuracy, completeness, consistency, and lineage.




- Test data ingestion pipelines and cloud data platforms such as Snowflake, Databricks, Azure Data Factory, or equivalent.

AI / ML / GenAI Testing

- Validate AI/ML model outputs, prompt workflows, RAG pipelines, and AI agents.
- Develop automated testing approaches for model accuracy, reliability, consistency, hallucination detection, and response quality.
- Execute performance, robustness, and security testing for AI-enabled applications.
- Collaborate with AI engineers to establish evaluation frameworks and quality benchmarks.

Test Automation & DevOps

- Design, develop, and maintain scalable automation frameworks using industry-standard tools and practices.
- Integrate automated test suites into CI/CD pipelines using Azure DevOps.
- Implement quality gates and automated validations for deployments.
- Enable continuous testing and shift-left quality practices.

Cloud & Platform Validation

- Test distributed systems, cloud-native applications, APIs, event-driven architectures, and platform integrations.
- Support test environment setup, configuration, monitoring, and release validation activities.
- Validate system resiliency, scalability, and reliability.

Collaboration & Leadership

- Work closely with Product Owners, Architects, Developers, Data Engineers, Security Engineers, and Business stakeholders.
- Provide regular testing status, quality metrics, risks, and recommendations to leadership.
- Participate in Agile ceremonies, sprint planning, backlog refinement,



retrospectives, and global stand-ups.
- Mentor junior QA engineers and promote automation-first quality engineering practices.

Required Qualifications

- B.E./B.Tech/MCA/B.Sc. (Computer Science or related discipline).
- 3-6 years of hands-on experience in Software Testing and Test Automation.
- Strong understanding of SDLC, STLC, Agile, Quality Engineering, and DevOps practices.

Technical Skills

- Strong proficiency in C#/.NET.
- Experience with Up-to-date Data Engineering Technologies (Snowflake/ Databricks), SQL and database testing.
- Experience in scripting using PowerShell, Python, or equivalent languages.
- Test Automation: Strong expertise in Selenium WebDriver, Playwright (preferred), REST API testing, Test framework development, Test Data Management
- API Testing : REST API validation, Postman, Swagger/OpenAPI, API automation frameworks
- Data Testing: SQL Server, Snowflake, Data warehouse testing, ETL/ELT validation
- AI Testing (Preferred): Experience testing, LLM-based applications, RAG architectures, AI Agents, Prompt workflows, Adversarial Testing, AI model evaluation frameworks
- DevOps & Cloud : Azure DevOps, CI/CD Pipeline Integration, Git, Docker, Azure Cloud Services
- Security Testing Awareness (Preferred): Basic understanding of cybersecurity concepts, Awareness of OWASP Top 10, secure coding validation, API security, and vulnerability testing.

Preferred Skills

- Experience testing cybersecurity products or platforms.
- Experience with observability and monitoring platforms.
- Exposure to performance testing tools such as JMeter, k6, or LoadRunner.
- Experience with test automation in cloud-native environments.
- Knowledge of distributed systems and microservices architecture.
- Strong analytical, troubleshooting, and communication skills.

📌 QA Engineer 2 (Secunderabad)
🏢 Providence India
📍 Secunderabad