> Markdown version of [/jobs/ext/4624507-software-development-engineer-in-test](https://www.wearedevelopers.com/jobs/ext/4624507-software-development-engineer-in-test). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer in Test. - **Company:** Cognizant Technology Solutions Corporation - **Location:** Princeton, NJ, United States - **Salary:** $96,000 - $112,500 - **Contract:** Permanent contract - **Skills:** Web Interfaces, Agile Methodology, Artificial Intelligence, Automation of Tests, Browser Compatibility, Code Coverage, Databases, Data Integrity, Azure Machine Learning, Salesforce.Com, Secure Coding, SQL Databases, Test Data, Web Applications, Performance Testing, Data Ingestion, GitHub Copilot, Delivery Pipeline, Playwright, Azure AI, Data Pipelines, SDET - **Published:** November 7, 2026 - **Apply:** https://dejobs.org/x/x/ABA1CD54B6664D2E94AE0E23663A22BC/job/ ## About the Role * Software Development Engineer in Test (SDET) expertise. * Experience with Salesforce Service Cloud. * Experience with Playwright automation. * Experience using GitHub Copilot. * Experience with API automation using REST Assured. * Excellent communication skills. * Strong knowledge of Agile practices. ## Description As a Software Development Engineer in Test (SDET) - Automation Architect, you will design and deliver advanced automated quality validation for Azure AI and generative AI solutions. You will use Playwright and Cognizant generative AI tools to strengthen test coverage across web applications, databases, SQL components, and telematics services, supporting reliable products and responsible innovation. You will partner with product and engineering teams to establish measurable quality standards, improve automation frameworks, and validate AI-enabled features across development, testing, and production environments., * Design and maintain automation frameworks for Azure AI services, validating model integrations, data pipelines, and application behavior across hybrid environments. * Develop generative AI test strategies covering prompt reliability, response relevance, hallucination detection, and performance across varied data and usage scenarios. * Create reusable Playwright test plans and suites for complex web interfaces, including cross-browser compatibility, accessibility, and resilience under realistic user loads. * Validate database and SQL components through complex queries, data integrity checks, and performance testing across transactional and analytical workloads. * Collaborate with product and engineering teams to refine acceptance criteria and quality gates for AI accuracy, latency, security, and user outcomes; conduct risk-based testing during staged releases and configuration changes. * Analyze production and test telemetry to identify defects and guide regression and exploratory testing. Validate telematics data ingestion, event triggers, and downstream analytics where applicable. * Integrate Cognizant generative AI tools into automation pipelines to generate test data, identify edge scenarios, and accelerate script maintenance with explainable outputs. Document reproducible defects, environment details, and impact assessments. * Improve test effectiveness and coverage, apply secure coding and test-data anonymization practices, support responsible AI validation, and share reusable test assets and patterns while mentoring peers.