Senior Principal, Quality Engineering Architect

🔥 3 hours ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Ingram Micro

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1979

🤝 B2B

🏢 Enterprise

☁️ SaaS

💰 Private Equity Round on 2021-06

B2B • Enterprise • SaaS

Ingram Micro is a global leader in technology and supply chain services. It has reinvented the B2B customer experience by providing tailored solutions and digital transformation through its platform, Ingram Micro Xvantage. This platform leverages AI and ML to empower businesses with data-driven insights, process automation, and scalable B2B solutions. Ingram Micro partners with over 161,000 customers and more than 1,500 vendors, offering services ranging from cloud solutions to lifecycle management. The company emphasizes sustainability, helping businesses achieve their goals while minimizing environmental impact. With a focus on fast-tracking cloud business success and optimizing technology offerings, Ingram Micro plays a critical role in advancing the digital landscape and supporting business growth.

📋 Description

• Lead the design and implementation of AI-first automation strategies for quality engineering • Build scalable, reusable, and enterprise-grade automation frameworks • Embed AI-driven quality intelligence into CI/CD and DevOps pipelines • Drive AI infusion into quality engineering practices • Collaborate with enterprise QA and engineering teams • Establish and enforce automation coding standards and best practices • Mentor and upskill teams on AI-driven quality engineering practices

🎯 Requirements

• Bachelor’s Degree in Computer Science or equivalent • Minimum of 10 years of experience • Strong expertise in designing AI-driven test automation architectures for enterprise systems • Experience with Generative AI for automated test case generation and defect analysis • Proven ability to build self-healing and adaptive automation frameworks • Proficiency in programming languages such as Python, Java, and JavaScript • Experience integrating AI capabilities into CI/CD pipelines • Hands-on experience with modern automation tools like Playwright, Selenium, and Cypress • Strong exposure to cloud-native architectures (Azure, AWS, GCP) including containerization with Docker and Kubernetes

🏖️ Benefits

• Health insurance • Retirement plans • Flexible working arrangements • Professional development opportunities