Lead QA Automation Engineer

Johnston, IA (Hybrid/Onsite)
12+ Months

$55/HR on W2

LOCAL AND W2 CANDIDATES ONLY. PLEASE DO NOT APPLY IF YOU DON’T HAVE LINKEDIN AND IF YOU ARE NOT LOCAL. THIS IS W2 CONTRACT. NO C2C/AGENCIES PLEASE

LOCAL AND W2 CANDIDATES ONLY. PLEASE DO NOT APPLY IF YOU DON’T HAVE LINKEDIN AND IF YOU ARE NOT LOCAL. THIS IS W2 CONTRACT. NO C2C/AGENCIES PLEASE

LOCAL AND W2 CANDIDATES ONLY. PLEASE DO NOT APPLY IF YOU DON’T HAVE LINKEDIN AND IF YOU ARE NOT LOCAL. THIS IS W2 CONTRACT. NO C2C/AGENCIES PLEASE

Role Overview

We are seeking a Lead Automation Engineer to support digital transformation and innovation within the agriculture domain. This role will be responsible for designing and leading automation initiatives across laboratory systems, agricultural research platforms, manufacturing processes, and enterprise applications. The ideal candidate will have strong expertise in automation engineering while bringing leadership to a cross-functional team focused on delivering scalable, reliable, and efficient automation solutions that drive innovation in modern agriculture.

Required Skills:

• Bachelor’s or Master’s degree in Computer Science, Agricultural Engineering, Information Technology, or related field.
• 12+ years in automation engineering with at least 3+ years leading automation teams.
• Proven experience with automation frameworks/tools such as:
  • Selenium, Cypress, Playwright (UI Automation)
  • RestAssured, Postman, Karate (API Automation)
  • JUnit, TestNG, Cucumber (BDD)
• Programming proficiency in Java, Python, or JavaScript.
• Experience with CI/CD and DevOps tools: Jenkins, GitLab, Azure DevOps, GitHub Actions.
• Strong understanding of Agile, DevOps, and cloud platforms (AWS/Azure).
• Familiarity with agriculture/life sciences workflows (lab systems, digital agriculture platforms, ERP/SAP systems) is a plus.

Preferred Qualifications

• Experience with automation in life sciences or agriculture industry (e.g., laboratory automation, seed R&D platforms, or smart agriculture applications).
• Exposure to data automation for IoT devices, sensors, or precision agriculture platforms.
• Certifications in automation testing (ISTQB, Selenium, or equivalent).
• Knowledge of AI/ML-driven automation for predictive agriculture solutions.