Principal Software Quality Engineer

About iTradeNetwork

At iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious: To feed the world. From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact.

Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers.

JOB SUMMARY

We are seeking a Principal Software Quality Engineer to lead and drive our quality assurance efforts across web, mobile, and AI/ML-powered applications. This role is pivotal in ensuring the reliability, performance, scalability, and intelligence of our supply chain management platform. You will architect innovative testing strategies, incorporating cutting-edge ML/AI tools, to proactively identify issues and enhance our automated testing capabilities. Your leadership will ensure that our platform continues to set industry standards in quality and reliability.

Responsibilities:

• Test Automation Frameworks:
• Architect and implement advanced, scalable test automation frameworks for web, mobile, and AI/ML-powered applications.
• Ensure seamless integration of these frameworks with Kubernetes-based microservices.
• Device Farm Management:
• Design and manage cloud-based and on-premises device farms to enable robust testing across various mobile devices, operating systems, and configurations.
• Comprehensive Testing Strategies:
• Develop testing strategies that encompass functional, performance, security, regression, and AI/ML validation for complex supply chain systems.
• Leverage AI/ML algorithms to generate dynamic and intelligent test cases, predict potential issues, and enhance test execution efficiency.
• CI/CD and Quality Gates:
• Implement CI/CD pipelines with rigorous quality gates to uphold high standards in software delivery.
• AI/ML Testing Integration:
• Design and execute test plans for AI/ML models, focusing on aspects such as accuracy, bias, scalability, and drift.
• Integrate ML-driven tools to monitor and validate AI system behavior in real-time.
• Mentorship and Collaboration:
• Mentor and guide QA team members in adopting modern testing methodologies and ML/AI-based tools.
• Collaborate with cross-functional teams, including development, data science, and product management, to ensure quality throughout the development lifecycle.
• Risk-Based Testing:
• Implement risk-based testing strategies to optimize resources and prioritize high-impact scenarios in supply chain operations.
• Quality Metrics and Reporting:
• Establish and monitor metrics to track quality trends, identify improvement areas, and communicate results to stakeholders.

What You Bring:

Core QA Expertise:

• 12+ years of experience in software quality assurance, with strong expertise in web, mobile, and AI/ML application testing.
• Proven expertise in test automation tools such as Selenium, Appium, TestNG, and AI/ML-driven frameworks.

Programming and Automation:

• Strong programming skills in Java and Python; familiarity with JavaScript or Groovy is a plus.
• Hands-on experience designing custom test automation frameworks tailored to business needs.

Device Farms and Cloud Platforms:

• Expertise in setting up and managing device farms using platforms like BrowserStack, Sauce Labs, or AWS Device Farm.
• Deep understanding of cloud platforms (AWS, GCP, or Azure) and containerized environments (Kubernetes).

AI/ML Testing:

• Experience in validating AI/ML models, including performance, accuracy, fairness, and bias testing.
• Familiarity with AI-driven testing tools (e.g., Test.ai, Applitools) and predictive analytics to enhance quality assurance processes.

Continuous Integration and DevOps:

• Proficiency in CI/CD tools and workflows, including integratio