Overview:
PDF Solutions is redefining the way the semiconductor industry approaches data, analytics, and experience design. As part of our journey, we’re building Next gen platform — a modern, human-centered analytics platform. We believe design systems aren’t just about consistency — they’re about scalability, collaboration, and performance.
The Senior QA Automation Engineer will play a critical role in ensuring the accuracy, reliability, security, and performance of our AI-enabled integration platform.
This role goes beyond traditional UI testing. You will design and implement automation frameworks for backend services, cloud-native deployments, and machine learning–driven applications. You will be deeply involved in validating data pipelines, testing ML forecasts against historical datasets, and ensuring platform readiness across multi-cloud and containerized environments.
The ideal candidate brings a strong automation-first mindset, hands-on experience with ML application testing, and the ability to work closely with engineering, data science, and DevOps teams to embed quality throughout the SDLC.
Responsibilities:
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Design, develop, and maintain scalable automation frameworks using Python, Java, Selenium, and API testing tools.
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Implement automated testing for backend services, data pipelines, and cloud-native microservices.
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Build reusable test components for regression, integration, and performance testing.
AI / ML Application Validation
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Validate machine learning models by evaluating prediction accuracy against historical and real-world datasets.
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Design test strategies for forecasting, anomaly detection, and analytics pipelines used in integration platforms.
Cloud, Container & DevOps Testing
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Test applications deployed as Docker containers across multiple cloud environments.
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Contribute to Helm charts, deployment pipelines, and test environments.
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Integrate automated tests into CI/CD pipelines and DevOps workflows.
Security, Reliability & Observability
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Perform security testing using tools such as SQLMap, OWASP ZAP, and vulnerability scanners.
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Validate system reliability, fault tolerance, and recovery scenarios.
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Support observability testing using logs, metrics, and monitoring tools (e.g., Prometheus, Grafana).
Quality Leadership
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Advocate for quality-driven engineering practices and shift-left testing strategies.
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Collaborate with cross-functional teams to define test strategies aligned with product and business goals.
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Mentor junior QA engineers and contribute to continuous improvement of QA standards.
Qualifications:
Must-Have Skills & Experience
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Bachelor’s degree in Computer Science, Engineering, or related field.
- 6–10+ years of experience in QA Automation and test engineering.
- Strong hands-on experience with:
- Automation frameworks: Selenium, Python, Java
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API & backend testing
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Test design for distributed systems
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Experience testing AI/ML-based applications, including data validation and model accuracy testing.
- Solid understanding of cloud-native architectures, Docker, and Kubernetes.
- Experience integrating automation into CI/CD pipelines.
- Strong analytical, troubleshooting, and problem-solving skills.
- Experience working in Agile/Scrum
Nice to Have
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Client facing experience in either sales or business development
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Exposure to data engineering pipelines and large-scale analytics systems.
- Experience with DevOps practices, infrastructure as code, and platform automation.
- Knowledge of observability stacks (InfluxDB, Prometheus, Grafana).
- Prior experience in SaaS or enterprise-scale platforms.
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Knowledge of manufacturing or shop-floor applications like MES (SiView, Fab300, etc) and equipment automation
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Knowledge of ERP integration strategies and EAI in general
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Ability to travel on company business, attend client functions, and professionally represent the company
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Certifications: Relevant certifications from public cloud solutions, ITIL, ISO 20000, COBIT.
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Agile Methodologies: Experience working in Agile/Scrum environments.
Pay Range: CAD $80,000.00 - CAD $115,000.00 /Yr.
