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:
We are seeking a skilled Software Development Engineer in Test (SDET) with strong programming, automation, analytical, and problem-solving capabilities. The ideal candidate will have experience testing data-intensive applications, demonstrate an understanding of business workflows, and effectively leverage modern AI-assisted engineering tools to improve software quality.
Design, develop, and maintain scalable test automation frameworks for UI, API, database, and end-to-end testing.
Develop and execute automated tests using Python Pytest, Playwright, Robot Framework or equivalent technologies.
Define test strategies, improve automation coverage, and integrate automated tests into CI/CD pipelines.
Perform functional, integration, regression, and data validation testing across complex applications and distributed systems.
Understand data as a product, including data flows, transformations, upstream and downstream dependencies, quality requirements, and business impact.
Analyze end-to-end business requirements, translate them into effective test scenarios, and identify functional dependencies, edge cases, and potential risks.
Investigate test failures, analyze application logs, identify root causes, and collaborate with engineering teams to resolve defects.
Leverage AI-assisted engineering tools for requirement analysis, test design, automation development, debugging, and test maintenance.
Independently identify opportunities to apply AI/GenAI in quality engineering, develop effective prompts, and validate AI-generated solutions for accuracy, reliability, and maintainability.
Contribute to continuous improvements in test automation, engineering productivity, product reliability, and quality processes.
Collaborate with developers, product managers, data engineers, and other stakeholders to ensure end-to-end product quality.
Communicate technical approaches, validation results, quality risks, and recommendations clearly and effectively.
Who You Are:
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline, or equivalent practical experience.
3.5+ years of professional experience in software testing, test automation, or SDET roles.
Strong programming and problem-solving skills, preferably in Python.
Hands-on experience designing, developing, and maintaining test automation frameworks using Pytest, Playwright, Robot Framework, or similar tools.
Strong understanding of software testing methodologies, test design techniques, and automation best practices.
Experience with UI testing and Automation, GraphQL ,REST API testing, database testing, and end-to-end application validation.
Working knowledge of Git, Jenkins, CI/CD pipelines, and agile software development practices.
Strong SQL skills with experience validating complex datasets, transformations, and data integrity.
Understanding of data pipelines, data dependencies, and data quality principles.
Ability to analyze business requirements, understand end-to-end workflows, and translate them into comprehensive validation scenarios.
Strong analytical reasoning, debugging, and root-cause analysis skills.
Practical experience using AI coding assistants such as Cursor, Claude, ChatGPT, GitHub Copilot, or equivalent tools for development, testing, and troubleshooting.
Ability to formulate effective prompts with appropriate technical and business context, evaluate AI-generated outputs, and…