QA/Automation Developer (Regular/Senior)

Job description

Introduction
Rise to meet the challenge of solutioning the world’s problems. Software engineers at IBM get to see their work in the real world, improving the current state of disaster preparedness and providing more accurate medical solutions around the globe. You will be challenged to think outside the box, work across organizations, and engineer creative solutions that scale to the demands of our ever-growing customer base. Take ownership and be actively engaged in the entire product lifecycle - from quick hits to full feature development.

Your Role and Responsibilities
WatsonX & Watson Machine Learning is looking for QA/Automation Developer to work from Cracow (Poland) office with the various products using edge-cutting AI solutions.

As a member of the team, you will work as part of the wider community within watsonx.ai and Watson Machine Learning products. You will be responsible for:
• developing test scenarios, test automation & CI/CD pipelines within watsonx.ai and Watson Machine Learning
• collecting and analyzing results with a focus on problem determination in order to ensure application and solution feature capability and stability
• managing and understanding IBM Cloud Pak for Data cluster environments, work with Kubernetes, OpenShift and other open-source technology

A successful individual for this role should possess:
• Ability to jump into multiple source code bases
• Self-driven and a desire to continually learn
• Good code writing discipline and an eye for code efficiency
• Strong analytical and problem-solving thinking
• Ability to take ownership of problems to resolution and tasks to completion

For an overview of the product, see https://www.ibm.com/products/watsonx-ai

Required Technical and Professional Expertise
• 2 + years of professional experience with Software Test/Development/Automation, including working with CI/CD automation tools like Jenkins, Travis and others
• Professional experience coding and debugging in Python
• Professional experience working with Docker, Kubernetes, Openshift
• Basic experience working with testing frameworks like unittest, pytest and others
• Strong problem solving/troubleshooting abilities
• Fluent in written and spoken English

Preferred Technical and Professional Expertise
• Working knowledge and understanding of machine learning and deep learning models (including Large Language Models)
• Experience on micro-service architecture and development
• Experience with cloud environments is a plus