Run:AI is bridging the gap between data science and computing infrastructure by creating a high-performance compute virtualization layer for deep learning, speeding the training of neural network models and enabling the development of large AI models. By abstracting workloads from underlying infrastructure, Run:AI creates a shared pool of resources that can be dynamically provisioned for full utilization of expensive GPU compute.

Run:AI is searching for a Senior Automation Engineer to design, build and run the infrastructure for our automated solutions.

Responsibilities 

• Be responsible for the automation tests of the product.

• Design, develop, maintain and run test automation runs.

• Compose and run test scripts.

• Investigate, debug, analyze and report failures while working closely with developers.

• Constantly improve existing infrastructure by integrating with third party systems and implementing new technologies.

• 4+ years of experience of developing automation infrastructures.

• Coding capabilities with languages such as Python or Go.

• Hands on working knowledge with automation testing frameworks (such as Selenium, Cypress, JUnit, TestNG).

• Experience with Behavior Driven Development of automation testing (such as Cucumber). 

• Working knowledge of API testing.

• Working experience with CI/CD tools (CircleCI or similar).

• Working experience with Containers, Cloud and virtualization, preferably Docker & Kubernetes.

• Strong background in Quality Assurance.

All your information will be kept confidential according to EEO guidelines.