C3 AI is seeking a Lead QA Automation Engineer to work with Engineering, Product Development, QA, Operations, and Customer Services to drive the software quality automation for our existing and emerging products. Reporting to the Director of Quality Assurance Engineering, you will be part of a team of highly skilled QA and performance engineers to ensure that we are shipping the highest quality software possible.

This is a hands-on role primarily focused on enhancing our test automation framework and developing automated test cases. You will collaborate with QA and performance engineers to improve productivity and testing execution time. This role also participates in the validation and sign-off for all product software releases.

Working with C3 AI’s Generative AI team, you will be tasked with testing the infrastructure and tools to improve the state-of-the-art and enable the use of this game changing technology in our enterprise applications. You’ll collaborate with product managers, data scientists and other engineers and will be responsible for the entire QA lifecycle. A successful candidate will thrive in a fast-paced, innovative, and highly collaborative environment, and demonstrate an ability to execute precisely and quickly. The ideal candidate will have some experience with machine learning and Large Language Models (LLMs).

Responsibilities: 

• Become a C3 AI, C3 AI SaaS application & C3 AI PaaS AI Suite expert to thoroughly understand all use case scenarios.
• Define test strategy, create test plans, author test cases, and perform test execution to support ongoing C3 AI product releases.
• Perform analysis to identify root cause for any defects identified during the release validation process.
• Generate and report test results to stakeholders and be a strong proponent for product quality at C3 AI.
• Design, Implement UI, API, and Backend Automation Frameworks to eliminate regressions and enable high quality product releases.
• Define and implement QA process to optimize and scale testing within the product.
• Lead the improvement and implementation of best practices, methodologies, and tooling to meet quality coverage.
• Drive the adoption of quality metrics that help measure test effectiveness, efficiency, and overall quality of product.
• Ensure test processes for new applications and features are designed into the product development process.
• Work with performance engineers to design and execute performance benchmarking.
• Work closely with and incorporate feedback from the Customer Solutions, Products and Engineering teams.

Qualifications: 

• BS in Computer Science, Computer Engineering, or a related field, MS preferred.
• 7+ years of professional experience planning, designing, executing tests for enterprise cloud-based services.
• Hands on experience in design, implementation and maintenance of high-quality UI, API, and Platform automation suites.
• Highly skilled in formulating test strategies for a robust, highly available large-scale, distributed SaaS systems.
• Proficiency testing web applications and cloud deployments (GCP, AWS, Azure).
• Demonstrated interest for Generative AI technology (e.g., projects with technologies like LangChain, Semantic Kernel, ChatGPT Plugins, etc.).
• Experience in testing reliable and scalable data pipelines and data integrated from multiple sources.
• Experience being creative and having initiative to improve product quality coverage and effectiveness.
• Ability to thrive in an autonomous, empowering, and exciting environment.
• Outstanding team player with excellent interpersonal skills.

Preferred Qualifications:

• Knowledge of Agile development methodology.
• Experience leading engineering teams and projects.
• Experience in software development with Selenium, Python, JavaScript, Java, or other object-oriented programming languages.
• Familiarity with Big Data systems like Apache Spark /Hadoop / Distributed Systems.
• Working knowledge of CI/CD pipelines and Git or other version control software.
• Experience working across global cross functional teams.
• Great verbal and communication skills with Experience in communicating with technical and non-technical stakeholders across all levels of the organization.