Lead Python Test Automation Engineer

Responsibilities

• Define, architect, and lead the implementation of complex, scalable Python test automation frameworks across Web UI, microservices, APIs, and data layers using pytest, Robot Framework, Playwright, and Selenium
• Architect end-to-end API testing and integration testing strategies across complex microservice architectures, establishing standards for contract validation, service virtualization, and data integrity
• Define and standardize automated data verification strategies, test data management (TDM), and state validation architectures across relational database engines (PostgreSQL, MySQL, Amazon RDS)
• Architect and oversee end-to-end performance and scalability engineering strategies (utilizing distributed Locust, k6, or JMeter clusters), defining SLAs, load models, and infrastructure bottleneck analysis
• Design and govern enterprise cloud testing architectures on AWS, GCP, or Azure, optimizing infrastructure costs, containerized parallel test grids, and serverless execution pipelines
• Establish strategies and governance for integrating GenAI and autonomous coding agents into the testing lifecycle (prompt workflows, agentic CI/CD pipelines, automated failure analysis, self-healing tests)
• Standardize version control workflows (Git/Gitflow) and establish quality gates, traceability, and metric reporting across test management platforms (Jira, TestRail, Zephyr)
• Set team-wide coding standards, lead rigorous code reviews, and ensure high test execution reliability, performance, and maintainability across frameworks and custom test engines
• Own end-to-end quality strategy, test automation metrics, ROI measurement, effort estimation models, and continuous delivery integration in enterprise CI/CD ecosystems
• Drive client technical engagements, workshops, architectural proposals, and pre-sales evaluations, serving as an authoritative quality and cloud architecture advisor

Languages