Role Description:
* Gen AI Testing: Integrate Gen AI into all phases of testing including automated test case generation synthetic data creation and intelligent bug analysis
* Full-Stack Validation: Own quality strategy for Web Mobile (iOS/Android) and API layers ensuring seamless multi-channel customer experience
* Shift-Left Engineering: Work closely with developers to automate testing and architect robust test suites for CI/CD pipelines
* Infrastructure Simulation: Use cloud-based testing platforms and service virtualization for isolated and high-scale environments
* Drive Automation: Design and implement CI/CD pipeline enhancements through agent integration to improve deployment efficiency and reliability
* Collaborate: Work within Agile squads with technical and business partners
Core Requirements:
* 5 years of experience in Quality Engineering and Automation
* Web automation: Selenium / Playwright / Cypress
* Mobile testing: Appium / XCUITest
* API testing: Postman / RestAssured
* Service virtualization: WireMock or similar tools
* Cloud testing platforms: Perfecto / LambdaTest / Sauce Labs
* CI/CD tools: GitHub Actions / Jenkins / Azure DevOps
* Strong Git branching and version control knowledge
AI / Modern QE Skills:
* Experience using Gen AI tools (Copilot / Claude / QA agents) for test generation maintenance and edge-case discovery
* Performance and observability tools: Splunk / Dynatrace
Nice to Have:
* Agentic AI for self-healing test suites or exploratory testing
* Contract testing tools such as Pact or similar microservices validation tools
Job Overview:Were seeking an experienced ETL Pipeline Developer proficient in Python to design implement and maintain robust data pipelines. This role is critical for transforming raw data into valuable business insights across our Responsibilities: Architect and build efficient ETL pipelines in Python to process diverse data sources Implement data transformation logic using pandas for complex manipulations and aggregations Document pipeline architecture data flows