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
This role is for the team of IBM StreamSets Engineering Enablement in Data and AI business unit.
The Engineering Enablement team at IBM is tasked with promoting a quality-first engineering culture for our developers as well as for customers. As a Software Engineer, you will work with Engineering Enablement team leadership on our next-generation of tooling and infrastructure to help bring the benefits of IBM StreamSets to our users. The main programming language that we use in this team is Python.

• Work on building backend components, frameworks, automation, and tooling to promote a culture of quality.
• Scope, design, implement, test, and release new features, automation, and infrastructure in coordination with our product releases.
• Contribute to customer-facing products, like the Python SDK and Testframework, that enable users to programmatically apply IBM StreamSets' best practices to their use cases.
• Gain broad exposure to, and expertise in, a number of enterprise software environments and integrations.
• Work across teams to deliver key, critical functionality

• "1+ years professional experience as a software engineer
• Proven experience with, and understanding of, Python 3 or similar OOP languages
• An obsession with good product design and attention to detail
• Highly self-motivated and directed, with a strong desire to expand your technical acumen
• Exceptional verbal and written communication and collaboration skills to work collaboratively across teams and geographies

• "Knowledge and familiarity with the pytest framework
• Experience structuring, developing, building, and releasing python packages/libraries
• Experience with cloud-native technologies (AWS, GCP, Azure)
• Experience with Agile methodologies, particularly Scrum, and a proven track record of successful delivery
• Experience with Jenkins or similar automation and CI/CD solutions