Automation Test Lead

We are seeking a hands-on Automation & Verification Engineer with strong experience in hardware/software testing, design verification, and modern automation frameworks. The ideal candidate brings a mix of systems engineering, CI/CD integration, and emerging AI-driven automation capabilities.

• Design, build, and maintain scalable UI, API, and service-level test automation
• Develop reusable automation frameworks (e.g., Selenium, Playwright, Squish) with strong error handling, retry logic, and idempotency
• Drive continuous improvement in test coverage, reliability, and execution speed

• Integrate automated test suites into CI/CD pipelines (Jenkins, Git Hub Actions)
• Implement quality gates, versioning, and traceability across releases
• Build automated validation, reporting, and dashboards to track coverage and release readiness

• Leverage Azure OpenAI and Cognitive Services for document processing (requirements, risk docs, IFUs), text classification, and summarization
• Develop lightweight LLM-based utilities with proper guardrails (prompt templates, cost/latency controls, logging, and data redaction)
• Collaborate with AI/data teams on advanced use cases while ensuring Responsible AI and data privacy compliance

• 3–5 years of experience in QA automation, Dev Ops, systems engineering, or test engineering
• Hands-on experience with test automation tools such as Selenium, Playwright, Cypress, Squish, or Robot Framework
• Experience with CI/CD pipelines (Jenkins, Git Hub Actions) and Git-based workflows
• Familiarity with systems engineering tools such as ALM, JAMA, or similar
• Basic cloud experience (Azure preferred), including services like Functions, App Services, Storage, and Key Vault
• Experience working with APIs (REST/Graph
  
  QL) and data formats (JSON, CSV, Parquet, SQL)

• Exposure to CT scanner hardware or medical imaging technologies
• Experience using LLM APIs or cognitive services for automation use cases
• Understanding of prompt engineering, token limits, cost optimization, and latency considerations