Software Engineer in Test III (Automation Testing, Virtualization)

Key Responsibilities

• Design, develop, and maintain scalable and robust automation frameworks using Java-script or Python

• Build and execute automated test suites for complex distributed systems

• Validate functionality, performance, and reliability of storage and virtualization platforms

• Collaborate with development, DevOps, and product teams to ensure high-quality releases

• Identify gaps in test coverage and implement solutions to improve quality metrics

• Contribute to CI/CD pipelines and integrate automated tests into build workflows

• Debug complex issues across system layers (application, storage, infrastructure)

Required Skills & Experience

• Minimum 5+ years of experience in QA Automation / SDET role

• Strong hands-on experience with Virtualization Technologies (e.g., VMs, hypervisors, containerization)

• Solid understanding of Storage Domain concepts:

• SAN, NAS, RAID, file systems

• Data replication, backup & recovery

• Experience or exposure to IBM Power Systems is highly preferred (e.g., familiarity with IBM Power Systems architecture and ecosystem)

• Proficiency in Javascript or Python for test automation

• Experience working with modern automation frameworks (e.g., TestNG, PyTest, Selenium, REST API testing tools)

• Strong debugging, problem-solving, and analytical skills

AI & Modern QA Expectations

• Practical understanding of AI/ML-assisted testing tools and workflows

• Experience using AI for:

• Test case generation and optimization

• Intelligent test data creation

• Flaky test detection and self-healing automation

• Familiarity with tools/platforms like:

• GitHub Copilot or similar AI coding assistants

• AI-powered test platforms (e.g., test optimization tools, anomaly detection systems)

• Ability to integrate AI-driven insights into existing QA processes to improve efficiency and coverage

• Awareness of prompt engineering basics for test design and debugging

Good to Have

• Experience with performance and load testing

• Knowledge of cloud platforms (AWS, Azure, or GCP)

• Exposure to container orchestration tools like Kubernetes

• Understanding of CI/CD tools (Jenkins, GitHub Actions, etc.)

Soft Skills

• Strong communication and collaboration skills

• Ability to work independently and take ownership

• Mentoring junior QA engineers and driving best practices

• Proactive approach to quality and continuous improvement

• Job Family Group: Engineering 

• Job Family: Software & Quality Assurance Engineering 

• Job Profile Name: Software Engineer III 

• Employee Type: Individual Contributor  

• Job Level: P3 (Career)