Senior QA Automation Engineer

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.

Qualifications

• 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.

Pay

USD $80,000.00 - USD $125,000.00 /Yr.