NOTE: Onsite in Charlotte - Hybrid model - onsite 3 days a week. **Quality Assurance Automation Tester. **Test automation; **Python -  5yrs exp - **Ability to write, test, and debug; **load testing and regression testing; ** familiarity with RESTful API services developed on AWS; ** familiarity with Software design; **Experience configuring and deploying CI/CD pipelines in GitLab; ** AI models. **Must have excellent communication skills -  both verbal and written, collaborative team player, how can I break it mindset. Provide location and interview availability ** Video conference interview.

Job Description: AI Platform Test Automation Engineer

Culture: Our team is building Generative AI Platform, enabling teams and applications across the organization to leverage AI in a safe and performant way. We aim to operate like a startup in an enterprise environment, moving quickly and iteratively working with our partners to get to the best solution. As we scale our platform, its imperative that we have a mature observability and testing framework. This role will focus in these areas, partnering with our Enterprise Observability, Sustain, and Testing teams to help ensure our platform is a reliable enterprise asset for our stakeholders to confidently leverage. The ideal candidate is a strong team player, versatile in their skillset, loves to learn, and welcomes new challenges.

Note: This role is focused on supporting our Cloud Native Gen AI Platform, both from a testing standpoint. You would be working side by side with the engineers on the team to develop our automated testing suite, as well as independently building ways to perform health checks and load testing on the system. This is not a Data Engineering Role.

At least 5 years of experience in developing automated test frameworks in Python

Strong experience in developing performance test plans and performance test scenarios using requirements and design documents while specifying testing overview, approach, strategy, scope, architecture, environment, roles and responsibilities

Understanding of modern web application technologies, and architecture

Ability to design and implement testing methods for both end to end, and individual service layers of the application stack

Ability to identify bottlenecks in performance, and provide actionable information and suggestions

Ability to determine future performance needs and architectural changes based on the continued growth of the product

Excellent understanding of the QA process and lifecycle, from smoke test to integration to user-acceptance, to regression, to final release

Provide performance benchmark documentation of candidate releases

Familiarity with RESTful API services developed on AWS

Experience with Infrastructure as code (Terraform preferred).

Experience configuring and deploying CI/CD pipelines in GitLab.

Experience working in an agile environment.