Quality Engineer II - AI/Machine Learning

Job Description

Appian is seeking a Quality Engineer II to ensure the quality of its AI-driven platform. The candidate will play a crucial role in maintaining high standards through manual and automated testing, focusing on AI features. The role involves collaborating with agile teams, analyzing requirements, and contributing to release activities.

Responsibilities:

• Manually test and troubleshoot new features, focusing on AI-powered functionalities.
• Develop and maintain automated test code using Java, Python, and Selenium.
• Perform regression testing when bugs are resolved, including AI-based features.
• Analyze and troubleshoot software defects, contributing to detailed documentation.
• Build and enhance test artifacts for efficient reuse, including test data and tools for AI feature testing.
• Collaborate with agile team members to define and review acceptance criteria.
• Participate in critical release activities across all platforms.
• Ensure accurate and timely reporting of all work products.
• Apply advanced software testing design techniques.
• Systematically analyze requirements to provide effective input into engineering activities.
• Effectively identify and resolve root causes of leaked defects.
• Lead or participate in release management activities.
• Contribute to software performance analysis and system tuning.
• Build automation to prevent problem recurrence.
• Troubleshoot, investigate, and diagnose incidents using tracing, alerting, and log analysis.
• Contribute to Appian's long-term documentation.

Requirements:

• Bachelor’s degree in Computer Science or a related field.
• 4+ years of relevant experience in quality, testing, performance, or software engineering.
• Proven experience with both manual and automated testing.
• Experience in a high-volume or critical production service environment.
• Proficiency in Python.
• Experience with web, Android, and iOS platform testing.
• Understanding of AI concepts and a willingness to learn AI testing methodologies.

The role offers:

• Training and Development: Department-specific training, mentorship, and the First-Friend program.
• Growth Opportunities: Leadership program, Appian University, skills-based training, and tuition reimbursement.
• Community: Inclusivity through employee-led affinity groups.