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Global Connect Technologies • Hillsboro, Oregon, United States
Role & seniority: Senior Automation Engineer (Sr.)
Location & work type: Hillsboro, OR; Long Term
Stack / tools: Python automation (Pytest), Robot Framework; QNX OS (POSIX); UX/UI Automation; Appium; Selenium; CI/CD (Jenkins, GitLab CI, Azure DevOps); Git; Hypervisor/Cloud (AWS)
Design, architect, and enhance scalable automation frameworks using Python and Pytest
Migrate automation assets from Robot Framework to Python/Pytest, preserving feature parity and maintainability
Debug cross-layer automation issues across Python, Robot Framework, QNX, and device tools; integrate frameworks with CI/CD; mentor junior engineers
5+ years Python automation experience (Pytest)
Strong Robot Framework expertise (keywords, resources, variables, test structure)
Experience maintaining large keyword repositories (1000+ keywords)
QNX OS / POSIX systems; Hypervisor-based virtualization; AWS
Git, CI/CD workflows; UI/device automation (Appium, Selenium)
Analytical, debugging, independent work; cross-functional collaboration
Experience in mobility, embedded systems, aviation, or high-volume regression
Automation framework migration, cross-framework interoperability, or keyword reuse models
Bachelor’s degree in CS, Electronics, Engineering, or related field
Job Title: Sr. Automation Engineer
Location: Hillsboro, OR
Duration: Long Term
Job Summary Panasonic Avionics Corporation is seeking Senior Automation Engineers to lead and enhance advanced automation solutions for embedded and UI-driven systems. The ideal candidates will bring deep expertise in Python-based automation, Robot Framework, and QNX environments, with a strong focus on scalable test architecture, framework migration, and high-volume regression execution. This role requires hands-on technical leadership, cross-layer debugging skills, and collaboration within complex embedded and aviation-grade systems. Mandatory Technical Skills (Minimum 5+ years of hands-on experience in each) Python automation using Pytest or Robot Framework QNX OS (POSIX-compliant systems) UX/UI Automation & Testing Key Responsibilities Design, architect, and enhance scalable automation frameworks using Python and Pytest. Perform migration of automation assets from Robot Framework to Python/Pytest, ensuring feature parity and long-term maintainability. Analyze and interpret large Robot Framework keyword libraries and enable reuse within Python-based executions. Optimize hybrid execution models involving both Pytest and Robot Framework assets. Develop wrapper layers, fixtures, utilities, and reusable automation components. Independently debug complex cross-layer automation issues spanning Python, Robot Framework, QNX OS, and device-level tools. Integrate automation frameworks with CI/CD pipelines using tools such as Jenkins, GitLab CI, or Azure DevOps. Execute and maintain UI and device automation using Appium, Selenium, or equivalent tools. Enforce modular test design principles, including page-object and page-keyword patterns, to ensure long-term automation maintainability. Mentor junior engineers and uphold automation design, coding standards, and best practices. Required Qualifications 5+ years of hands-on experience with Python automation and Pytest. Strong practical experience with Robot Framework, including keywords, resources, variables, and test structuring. Proven experience managing and maintaining large keyword repositories (1000+ keywords). Experience working with QNX OS, POSIX systems, Hypervisor-based virtualization, and Cloud environments (AWS). Solid understanding of Git version control, branching strategies, and CI/CD workflows. Experience with UI and device automation tools such as Appium and Selenium. Strong analytical, debugging, and problem-solving skills with the ability to work independently. Excellent communication skills and experience working in cross-functional teams. Preferred Qualifications Experience in mobility, embedded systems, aviation, or high-volume regression environments. Exposure to automation framework migration, cross-framework interoperability, or keyword reuse models. Bachelor’s degree in Computer Science, Electronics, Engineering, or a related field.