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.

Automation & Test Engineering

• 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.

AI / ML Application Validation

• 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.

Cloud, Container & DevOps Testing

• 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.

Security, Reliability & Observability

• 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).

Quality Leadership

• 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.

Must-Have Skills & Experience

• 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 Have

• 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.