Senior QA Automation Engineer

PDF Solutions•Vancouver, BC

About The Position

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.

Requirements

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
API & backend testing
Test design for distributed systems
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 Haves

Client facing experience in either sales or business development
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.
Knowledge of manufacturing or shop-floor applications like MES (SiView, Fab300, etc) and equipment automation
Knowledge of ERP integration strategies and EAI in general
Ability to travel on company business, attend client functions, and professionally represent the company
Certifications: Relevant certifications from public cloud solutions, ITIL, ISO 20000, COBIT.
Agile Methodologies: Experience working in Agile/Scrum environments.

Responsibilities

Design, develop, and maintain scalable automation frameworks using Python, Java, Selenium, and API testing tools.
Implement automated testing for backend services, data pipelines, and cloud-native microservices.
Build reusable test components for regression, integration, and performance testing.
Validate machine learning models by evaluating prediction accuracy against historical and real-world datasets.
Design test strategies for forecasting, anomaly detection, and analytics pipelines used in integration platforms.
Test applications deployed as Docker containers across multiple cloud environments.
Contribute to Helm charts, deployment pipelines, and test environments.
Integrate automated tests into CI/CD pipelines and DevOps workflows.
Perform security testing using tools such as SQLMap, OWASP ZAP, and vulnerability scanners.
Validate system reliability, fault tolerance, and recovery scenarios.
Support observability testing using logs, metrics, and monitoring tools (e.g., Prometheus, Grafana).
Advocate for quality-driven engineering practices and shift-left testing strategies.
Collaborate with cross-functional teams to define test strategies aligned with product and business goals.
Mentor junior QA engineers and contribute to continuous improvement of QA standards.