Automation Test Lead, Waukesha

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.
Key Responsibilities
Automation Development
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
CI/CD & Quality Engineering
Integrate automated test suites into CI/CD pipelines (Jenkins, GitHub Actions)
Implement quality gates, versioning, and traceability across releases
Build automated validation, reporting, and dashboards to track coverage and release readiness
AI-Enabled Automation
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
Required Qualifications
3–5 years of experience in QA automation, DevOps, systems engineering, or test engineering
Hands-on experience with test automation tools such as Selenium, Playwright, Cypress, Squish, or Robot Framework
Strong programming skills in Python, JavaScript/TypeScript, or PowerShell/Bash
Experience with CI/CD pipelines (Jenkins, GitHub 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/GraphQL) and data formats (JSON, CSV, Parquet, SQL)
Nice to Have
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