Introduction At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
Your Role and Responsibilities Be part of transparent and responsible AI innovations. Join the Software Labs to build GenAI solutions that solve complex business problems and get an opportunity to influence the future of AI. As the Gatekeeper of Quality, you’ll ensure our complex systems meet the highest standards, playing an indispensable role in building scalable QA environment.
As a QA Engineer, you will
Develop a QA framework covering functional, regression , performance, scalability, security and stress areas for world class enterprise system on cloud and on-prem.
Develop in depths functionality and stability automatic tests that will map customer use cases
Develop automated test scenarios and environments for End2End automatic evaluation
Collect test evidence measurements to ensure system functionality, stability and scalability
Designing and implementing automation tools and frameworks for continuous integration,
delivery, and deployment.
Monitoring and managing infrastructure, ensuring optimal performance, security, and scalability.
Troubleshooting and resolving issues related to application development, deployment, and operations.
Continuously improving processes and tools to enhance efficiency and productivity.
Participate in technical Initiatives that aligns with business goals and objectives.
Work in an agile, collaborative, distributed, fast paced and exciting environment.
Required Technical and Professional Expertise
Eight years of industry experience and six years of relevant experience
Skilled in test automation, debugging, and analytical skills
Experience with testing tools and frameworks, and work closely with development teams to identify and resolve issues.
Collaborating with development and operations teams to identify and address bottlenecks in the software development lifecycle.
Hands-on with Python and other scripting languages
Good understanding of Cloud , development and deployment methodologies in cloud,
Devops,CI/CD
working knowledge of scrum, Kanban or equivalent. Jira, Github
Strong leadership and communication skills
Preferred Technical and Professional Expertise
IBM Cloud especially VPC , CI/CD , Quality and automation
Experience of working with a broad spectrum of technology solutions including Cloud, Data and AI
Architect reliable and cost-effective hybrid cloud solutions.
