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.
As a Fusion Software QA Engineer you will be part of a dynamic team responsible for ensuring the quality and reliability of IBM Fusion software solutions. This entry-level position is ideal for recent graduates or early professionals who are passionate about software quality automation and continuous improvement. You will work closely with development teams to validate features identify defects and contribute to delivering high-quality releases.
Key Responsibilities:
- Test Design & Execution:
- Understand product requirements and create detailed test cases for Systems Verification Test
- Design implement and execute automated tests to validate software functionality
- Automation Development:
- Learn and apply test automation frameworks and tools to increase coverage and efficiency.
- Contribute to automating repetitive test scenarios and maintaining automation scripts.
- Defect Management:
- Identify document and track defects using standard tools (e.g. Github).
- Collaborate with developers to reproduce issues and verify fixes.
- Collaboration & Communication:
- Participate in daily stand-ups sprint planning and retrospectives.
- Learning & Growth:
- Stay updated on QA best practices tools and technologies.
- Develop skills in areas such as automation performance testing and cloud-based environments.
- Basic understanding of software development lifecycle (SDLC) and QA principles.
- Hands on experience with Python and scripting.
- Knowledge of version control systems (e.g. Git) and basic command-line usage.
- Strong analytical and problem-solving skills.
- Good English communication and teamwork abilities.
- Exposure to test automation tools (e.g. Pytest).
- Understanding of Agile methodologies.
- Experience with cloud platforms or containerization (Docker Kubernetes).