Looking for Test Automation Architect – Irvine, CA (Onsite)

Hi All,

Hope you are doing well.

You will get an interview as soon as possible if your profile is shortlisted.

Position: Test Automation Architect
Duration: Contract
Location: Irvine, CA (Onsite)
Experience: 14+ above
Mandatory Skills: Pytest, AIML

Job Description:
We are seeking a highly skilled and experienced Test Automation Architect to lead the design, development, and optimization of test automation frameworks for our In-Flight Entertainment (IFE) systems. This role requires deep technical expertise in semiconductor test environments, embedded systems, and server-client architectures. The ideal candidate will have strong leadership capabilities, hands-on automation experience using PyTest, and experience applying AI/ML techniques to improve automation and validation processes.

Key Responsibilities:
Test Automation Architecture & Strategy:
Design and implement scalable PyTest-based test automation frameworks for complex IFE system-level and seat-end testing.
Define test strategies for end-to-end validation across headend servers, distributed client devices, and remote lab environments.
Architect automation solutions to validate system integration, functional behavior, and end-user experience of IFE platforms.
Lead the integration of automation solutions with remote hardware labs, simulators, and hardware-in-the-loop (HIL) setups.
Apply AI/ML models to optimize test case selection, defect prediction, log analysis, and anomaly detection to enhance automation efficiency.
Drive continuous improvements in test coverage, execution efficiency, and result analysis.

Required Skills & Experience:
10+ years of experience in test automation, with at least 3+ years in architect or lead roles.
Strong Python programming skills with advanced PyTest framework experience.
Proven experience in semiconductor testing environments, embedded systems, and remote server lab setups.
Hands-on expertise in API testing, system-level debugging, and distributed system validation.
Deep understanding of LRU-based architectures and embedded systems used in avionics or similar domains.
Experience applying AI/ML techniques to automation frameworks for data analysis, test optimization, and predictive quality.
Demonstrated experience in architecting automation solutions for complex server-client and hardware-in-the-loop environments.

Preferred Qualifications:
Prior experience with IFE or avionics testing platforms.
Hands-on expertise with data logging, debug data extraction, and analysis tools for embedded systems.
Experience collaborating with cross-functional hardware, software, and application test teams.
Strong knowledge of networked embedded systems, remote device orchestration, and lab automation frameworks.
Excellent communication, documentation, and team leadership skills.