Overview
On Site
Hybrid
DOE
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Skills
AIPlatform
Quality Assurance
Automation Tester
Test automation
Python
RESTful API
AWS
CI/CD pipelines
Gitlab
Job Details
DTS is looking for experienced Test Automation Engineer (AI) for a Direct Client position based in Charlotte, NC
Job Description:
Culture
- Our team is building client’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 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.
Tech
- 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.
DTS offers excellent compensation package.
Contact :
Pankaj Kumar
Digital Technology Solutions
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