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
- Software development is critical to the success of IBM and our clients worldwide.
- Use the latest software development tools, techniques, and approaches.
- Work with leading minds in the industry to build solutions.
- Opportunity to work on a new product suite, WATSONX, introduced by IBM in 2024.
- Looking for seasoned professionals passionate about Data, AI, and ML.
- Responsibilities include understanding requirements, architecting, designing, and implementing functionalities/features.
- Work with customers to translate their requirements into product features.
- Participate in agile development and large-scale scrums.
- Contribute to all phases of software development, including development and testing.
- Experience a culture of continuous learning and mentor junior members.
- Develop proof of concepts, mentor junior members, and work with various open source products.
- Equal opportunity to work on cloud and software product deployments.
Required Technical and Professional Expertise
- Strong experience in automation tools like Selenium, Cypress.
- Experience in QA automation.
- Familiarity and experience with Java.
- Strong experience in all testing phases, working as a QA in agile programs and as part of agile scrums.
- Working knowledge in Container technologies: Kubernetes, Docker.
- Experience with Automation and Integration processes and tools like Jenkins.
- Experienced with tools such as GitHub.
- Experience working in an Agile/SCRUM-based environment.
- Excellent communication skills (verbal and writing).
- Team leading and leadership experience.
Preferred Technical and Professional Expertise
- Experience with AI & ML Technologies.
- Experience with Data Engineering, Data Governance, Data Management.
- AWS or IBM Cloud expertise.
- Awareness or past experience in Big Data technologies, Spark, streaming data.
- Track record of open source contributions.
