Required Software QA Automation Infrastructure Engineer
We have been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As an employee, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Are you an ambitious and proactive engineer eager to make a real impact in the world of automation engineering? A leader in modern technologies, invites you to join our dynamic Infrastructure team. As an Automation Infrastructure Engineering, you'll immerse yourself in a collaborative environment, contributing to the development of innovative QA testing Automation systems. This role will not only improve your skills but also position you at the forefront of technology advancements.
What you'll be doing:
Joining our team to advance and refine our Automation infrastructure systems, bringing fresh ideas and new features.
Integrating exciting new technologies to achieve a flawless and intuitive Automation testing environment.
Applying your development experience to streamline processes and drive innovation.
Collaborating with a diverse team to solve complex problems and cultivate positive relationships.
Assisting in the implementation of sophisticated analysis tools and system integrations.
Be involved in design & develop of E2E applications and tools for our users,
Requirements: B.Sc. or equivalent experience in Computer Sciences or a related field.
Completion of programming and logic build courses.
1-3 Years of Experience with the following: Python, Angular, PHP, Go, Databases (e.g., Oracle, MongoDB), Git/GitLab.
Familiarity with Linux and Bash.
Ways to stand out from the crowd:
Background in Docker & Kubernetes.
Knowledge of network concepts.
Experience with CI/CD and cloud solutions.
Understanding of ML model training.
Strong communication and interpersonal skills.
This position is open to all candidates.