Software Development Manager
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- Infrastructure & Technology
- Professional
Software Development Manager
-
- Infrastructure & Technology
- Professional
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
Our OpenShift on Z team is responsible for enhancing and maintaining the key components of the Red Hat OpenShift Container Platform Architecture – OpenShift Container Platform (developer services), OpenShift Kubernetes Engine (Cluster services). We closely collaborate with the Redhat and international development teams of IBM (e.g. hardware and firmware development), as well as the global maintainers of Open Source communities.
As an Engineering Manager, you will primarily be responsible in leading the team focussed on architecture development modules/packages to enable Linux on IBM Z Server systems (s390x) architecture.
In the capacity of management leader you will be working with peers and stakeholders to ensure IBM business continuity. You will be responsible for the development team with a joint and end-to-end ownership of the product development, managing delivery schedules and assure highest quality release with maximum exploiter/customer satisfaction.
Essentially :
- Hire and managing highly talented engineers skilled in Linux base OS and associated Hybrid Cloud and AI sub-systems
- Be able to relate to technologies spanning across Redhat OpenShift (OCP), and Hybrid Cloud (Docker, Kubernetes, Containers), and Artificial Intelligence (AI), etc.
- Focus on Employee engagement, Growth, Skill building, Innovation and well-being towards retaining highly talented engineers
- Enable collaboration with distro partners to upstream the modules to open source community.
- Take End to End responsibility of product delivery and release by applying Design Thinking & Agile practices in product design, development & test
- Motivate the team in applying processes and best practices in delivering great user experience and quality products for IBM’s Server Systems
- Ensure Business Compliance and Integrity is maintained across the team
- Collaborate with peers and stakeholders to share/apply best practices at increasing efficiency in the process/product methodologies.
Required Technical and Professional Expertise
Required Technical and Professional Expertise with relevant experience of 10-18 years:
- At least 10 years of hands-on technical IT industry experience preferably in the area of Systems product R&D associated with cloud technologies
- Has managed a technical team and been part of their talent & career development – essentially a people champion
- Good problem solver – technical solutions as well as conflict resolution
- Familiar with Enterprise Server (Unix/Linux) Operating System (advantage if familiar with IBM Z Systems as a consumer or user)
- Has had technical exposure/experience on areas spanning across Redhat OpenShift (OCP), Cloud (Docker, Kubernetes, Containers), or Artificial Intelligence (AI), etc.
- Familiar with tools to track project & defect progress (RQM, RTC, Clear Quest, Best Quest, github, Jupyter, Jira, Trello, etc.) from program concept to delivery
- Strong understanding of programming (Python, C++, Go, Java, or other relevant languages) with a focus on developing production-grade quality products
- Familiar with automation including scripting (shell, python, perl, ansible), integration into frameworks (Robot, Jenkins, etc.), and applied CI/CD/CT approaches
- Adopted Agile, DevOps, and Design Thinking methodologies at work
- Proven ability to work effectively in a global team environment, forming & managing multiple projects across geographies
- Proven command over the English language, both written and verbal
Preferred Technical and Professional Expertise
- Solid understanding of systems hardware & architecture
- Good understanding operating systems internals/Kernel (Process Management, Memory Management, Virtualization, Scheduling, I/O (Networking & Storage), Security, etc.)
- Understanding of AI/ML model deployments, AI lifecycle, Hands on experience on deploying AI/ML models on cloud
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Key Job Details
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