Introduction
watsonx Code Assistant is an exciting new offering from IBM that strives to revolutionize enterprise software development with Generative AI. We need your expertise, your motivation and your collaboration to take watsonx Code Assistant to the next level.
As a Software Development Manager, you will primarily responsible to lead a software development team, be responsible for some modules of the watsonx Code Assistant Development team and deliver new features, improvements and business value our clients. This role requires strong leadership and change management skills, the ability to lead high performing teams, and a general knowledge of analytics. The ideal candidate for this position will have an established background in software development, strong technical ability, project management expertise, motivation to achieve results in a fast paced environment, as well as be client-focused and passionate about new technology, agile and devOps practices.

Your Role and Responsibilities
Hire and develop high performing technical talent with a particular focus on delivering values.
Drive team to establish comprehensive development plans and innovative solutions to problems / challenges that meet desired outcomes and keep integrity to client commitments.
Ensure end to end development activities are properly sized, planned and tracked to meet delivery expectations supporting focus areas such as:
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Required Technical and Professional Expertise

• 6+ years of experience
• Experience in building and managing development teams
• Experience with project management, planning, tracking, stakeholder management, conflict resolution and prioritization
• Strong software development background with prior experience in any modern programming language like GO, NodeJS, Javascript, Python including software design and architecture
• Thorough understanding of the agile development process
• Excellent people management and communication skills
• Experience with Source Control Management (i.e. Git)
• Fluent in written and spoken English

Preferred Technical and Professional Expertise

• Experience with ML models evaluations techniques, including Large Language Models (LLMs) is a plus
• Comprehensive understanding and hands-on mastery of containerized solutions including Docker, Kubernetes, and OpenShift is a plus.
• Experience in architecting, deploying, and managing applications in cloud or hybrid infrastructures is a plus.