QA Automation Tester,Charlotte, NC,United States

Intellibee; Charlotte (NC); On-site; USD 80,000 - 110,000; Full time

Job summary

An innovative firm is seeking a Quality Assurance Automation Tester to enhance its AI Platform. This role involves developing automated testing frameworks and collaborating with engineering teams to ensure a reliable platform. The ideal candidate thrives in a dynamic environment, possesses strong Python skills, and is adept at load and regression testing. Join a forward-thinking team dedicated to leveraging AI technology in a safe and efficient manner. If you're passionate about quality assurance and eager to tackle new challenges, this opportunity is perfect for you.

Qualifications

• 5+ years of experience developing automated test frameworks in Python.
• Strong experience in developing performance test plans and scenarios.

Responsibilities

• Develop automated testing suites and health check methods.
• Identify performance bottlenecks and provide actionable insights.

Skills

Automated Testing in Python

Load Testing

Regression Testing

RESTful API Services

CI/CD Pipelines in Gitlab

Communication Skills

Tools

Gitlab

Terraform

Job description

QA Automation Tester, Charlotte, NC, United States

Quality Assurance Automation Tester III

AI Platform Test Automation Engineer

Top Skills:

• 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;
• Excellent communication skills—both verbal and written; collaborative team player; "how can I break it" mindset.

Job Description:

Culture

• Our team is building Ally’s 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, it’s imperative to have a mature observability and testing framework. This role will focus on these areas, partnering with our Enterprise Observability, Sustain, and Testing teams to ensure our platform is a reliable enterprise asset for our stakeholders.
• The ideal candidate is a strong team player, versatile in their skillset, loves to learn, and welcomes new challenges.

Note

• This role supports our Cloud Native Gen AI Platform from a testing standpoint. You will work alongside engineers to develop automated testing suites and independently build methods for health checks and load testing. This is not a Data Engineering role.

Tech

• At least 5 years of experience developing automated test frameworks in Python.
• Strong experience in developing performance test plans and scenarios, 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.
• Ability to identify performance bottlenecks and provide actionable insights.
• Ability to determine future performance needs and architectural changes based on product growth.
• Excellent understanding of the QA process and lifecycle, from smoke testing to regression testing and final release.
• Provide performance benchmark documentation for releases.
• Familiarity with RESTful API services developed on AWS.
• Experience with Infrastructure as Code, preferably Terraform.
• Experience configuring and deploying CI/CD pipelines in Gitlab.

Experience working in an agile environment.