In this role, you will work on Edge Manager project, built on RHEL, OpenShift platform technology, Ansible and the Kubernetes cluster management system. You'll be responsible for all aspects of quality for Edge Manager, including designing test plans, extending automation coverage and frameworks, and developing new automated tests and infrastructure. You will make sure our testing standards fulfill the highest possible enterprise quality. As a Senior Quality Engineer, you will gain a deep technical understanding of a variety of popular technologies, including RHEL, containers, Kubernetes, OpenShift, Ansible, focused on deep integration of AI stack and tools
You will also be working closely with the product management, other engineering groups within, and with partners and potential customers.
What you will do:
Work in a fast-paced Agile global environment of talented Engineers
Execute manual and automated tests and deliver clear status in a timely manner.
Conduct failure analysis, explore, identify and document new bugs, advocate for the resolution of bugs and communicate the impact on customers to developers and support;
Coordinate cross components teams to be responsible for bug verification, regression testing.
Work with the product release related teams to be responsible for the product delivery related testing;
Design, develop and maintain automation frameworks, CI and scripts with Python or Golang for RHEM testing and implementation
Work closely with team members, bring new ideas to the table and create close collaborations across the organization
Write high-quality, maintainable, and efficient code on open source repositories
Participate in code reviews and provide technical mentorship to junior engineers
Stay up-to-date on the latest advancements in AI frameworks and new technologies
4+ years of expereince with Software Testing working with different testing methodologies and techniques in a globally distributed QE team
Programming skills in shell, Golang, Python or another programming language
Experience with a container ecosystem like Docker, Kubernetes, or OpenShift.
Advanced expereince with RHEL or other Linux distributions – good understanding of storage and network concepts
Excellent problem-solving and debugging skills
Ability to work independently and as part of a team, in a fast-paced environment and learn quickly
Very good written and verbal communication skills in English
The following is considered a plus:
Knowledge of CI/CD and Jenkins
Experience with Ansible, Cypress
Knowledge of AI frameworks (e.g., TensorFlow, PyTorch)
Background in DevOps
Experience with Linux kernel development
Knowledge of Amazon Web Services (AWS) , Google Compute Engine (GCE), or Microsoft Azure
Interest in learning new technologies; problem-solving skills, soft skills and passion to join QE team
