Job Description

SDET Engineer Remote

Must have Skills: SQL Python Microservices Automation Framework/ Testing experience (with AI/ML)

Role Overview We are seeking a strong Automation Engineer with expertise in Python, SQL, and modern automation frameworks, along with exposure to AI-driven testing approaches. This role will support a next-generation platform initiative focused on expanding automated testing capabilities and leveraging AI to improve test coverage, efficiency, and quality outcomes.

Key Responsibilities

• Automation & Framework Development Design, develop, and maintain robust automation frameworks Build and execute automated test suites for API, microservices, and UI layers Create reusable test components and scalable automation solutions Work with tools such as JMeter, PyTest, Selenium (or similar)
• AI-Driven Testing Strategy Leverage AI tools (e.g., Claude, Copilot) to: Generate test cases from requirements Identify edge cases and negative scenarios Suggest automation scripts and reusable components Enhance regression strategy by identifying impacted areas from code changes Utilize AI for intelligent test selection and optimization
• Data Validation & Analysis Perform data validation using SQL and Python Detect anomalies, trends, and inconsistencies in datasets Compare source vs. target data using automated approaches
• Microservices & Cloud Testing Validate microservices-based architectures Test APIs and distributed systems in cloud environments Collaborate with engineering teams on integration points

Required Skills Strong proficiency in: Python, SQL, Experience with test automation frameworks (any modern framework acceptable), Solid understanding of microservices architecture, Experience testing APIs and distributed systems, Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform), Hands-on experience with tools such as: JMeter, PyTest, Selenium (or equivalents), Experience with Jupyter/Databricks notebooks (preferred).

AI & Automation (Must-Have Focus) Exposure to AI tools such as Claude, GitHub Copilot. Understanding of how AI can enhance test generation, automation development, regression optimization, data validation.

Nice to Have Experience with Java-based environments (nice to have, not required), Experience in end-to-end regression automation, Background in data-heavy or analytics platforms, Familiarity with enterprise-scale testing environments.

For applications and inquiries, contact: [email protected]

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