Software Engineer In Test

About the role

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com.

What You’ll Do:

- Contribute to product quality, reliability, and performance through effective risk-based testing.

- Define test strategies and design manual and automated tests across UI, REST/GraphQL APIs, database, and end-to-end workflows.

- Develop, maintain, and improve test automation frameworks using Python, Playwright, pytest, and Robot Framework.

- Integrate and optimize automated tests within CI/CD pipelines (e.g., Jenkins) to improve coverage and release confidence.

- Validate REST/GraphQL APIs and database data flows with attention to data integrity and business impact; investigate logs, failures, and defects.

- Apply AI-assisted engineering tools to support test design, edge-case discovery, automation development, and debugging, while reviewing generated outputs.

- Where applicable, contribute to test coverage for AI/LLM-enabled features, including response quality, tool interactions, and regression behavior.

- Collaborate with developers, product managers, and DevOps to identify quality risks and continuously improve QA practices.

Who You Are:

- Bachelor’s degree in Computer Science, Information Technology, or a related engineering discipline, or equivalent qualification.

- 1+ years of hands-on experience in SDET or QA automation, including test framework development or maintenance.

- Strong programming and scripting fundamentals; Python is preferred.

- Solid understanding of functional, regression, integration, and end-to-end testing methodologies.

- Hands-on experience with Playwright for UI automation, pytest and/or Robot Framework for test execution, and SQL-based data validation (MySQL preferred).

- Ability to integrate automated tests with CI/CD pipelines, analyze failures, and track test coverage and execution health.

- Strong problem-solving, troubleshooting, debugging, and communication skills; comfortable in an Agile engineering environment.

- Experience working in Linux/Unix environments and a basic understanding of operating systems.

- Understanding of performance testing concepts; exposure to JMeter or similar tools is an advantage.

- Practical familiarity with AI coding assistants (e.g., Cursor, GitHub Copilot, Claude, or similar) for test planning, automation, code review, and failure analysis is a plus.