Sr. qe automation engineer

Company Description

Intelli Credence is a global technology consulting and IT services company that empowers enterprises to innovate and grow with agility. Leveraging cutting-edge technologies and AI capabilities, we create impactful solutions that drive business value. We work with global leaders across industries such as Healthcare, Retail, and Manufacturing, delivering tailored solutions through flexible and cost-effective engagement models. With a focus on strong collaboration and aligning with our clients' business goals, Intelli Credence offers expertise in digital transformation, cloud technologies, data analytics, and automation, among others. Our commitment to excellence and innovation enables our clients to succeed competitively in their respective markets.

Role Description

We are looking for a Senior QE Automation Engineer with 6-8 years of experience in designing and implementing enterprise-scale test automation frameworks across UI, API, Data, Cloud, and AI-enabled applications.

The ideal candidate should possess strong expertise in Python, Playwright, Pytest, API automation, SQL validation, AWS services, CI/CD integration, and modern quality engineering practices.

Key Responsibilities

Design and maintain scalable automation frameworks for UI, API, Data, and Cloud applications using Playwright, Python, and Pytest. Develop and execute UI automation suites using Playwright with Page Object Model (POM) architecture. Build comprehensive API automation covering functional, contract, schema, authentication, and negative testing. Perform data validation and ETL testing across Aurora Postgre SQL, AWS Glue, S3, and Snowflake. Develop automated tests for AWS Lambda, S3 events, and Step Functions using Pytest and boto3. Integrate automation suites into CI/CD pipelines using Git Hub Actions or Jenkins. Implement quality gates, test reporting, and shift-left testing practices. Collaborate with development, cloud, and data engineering teams to ensure end-to-end quality assurance. Drive automation best practices, reusable framework development, and test data management strategies.

Required Skills

6-8 years of Quality Engineering / Test Automation experience Strong expertise in Python programming Hands-on experience with Pytest and automation framework development Strong Playwright experience (Python or Type Script) REST API automation testing Advanced SQL (Postgre SQL & Snowflake) AWS services: Lambda, S3, Glue, Step Functions CI/CD pipeline implementation (Git Hub Actions / Jenkins) Contract Testing & Schema Validation Experience with boto3 automation

Preferred Skills

AWS Bedrock AI Agents & Agentic AI Testing Snowpipe Validation Snowflake Dynamic Tables Accessibility Testing (axe-core) Allure Reporting Performance & Scalability Testing Note: Immediate Joiner Preferred