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Introduction
The mission of the IBM Storage Solutions Engineering Team is to engage with strategic OEM and ISV vendors that are aligned with the IBM Storage strategy to create short- and long-term alignment of roadmaps and GTM.
This group is comprised of technology and business professionals who have intent on bringing to market impactful customer solutions based on the IBM Storage assets of today and the future. It will have influence over the product roadmaps and will evangelize everything we have to offer to our partners, our clients, and the worldwide market broadly.
Your role and responsibilities
The Storage Solutions Engineer will primarily be expected to:
- Contribute to defining clear requirements for the IBM Storage portfolio based on industry trends and key OEM/ISV strategies, in collaborative partnership with Storage Product Managers
- Design, develop, build, integrate, and test, validate, or otherwise certify differentiated workload-based solutions based on the IBM Storage portfolio of offerings combined with 3rd party technology from leading technology partners
- Provide education to customers and sales regarding our storage solutions in a wide variety of formats (e.g., blogs, white papers, reference architectures, videos, industry social media, trade shows, on-site briefings, etc.)
- Drive client success stories, references, and joint marketing opportunities between IBM Storage and our technology partners
- Help foster the feeling of being a trusted advisor with our customers when it comes to strategic storage solutions
- Enable cross-selling of other 3rd party solutions in the market
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
A strong candidate for the Storage Solutions Engineer position will possess a wide variety of skills, experiences, and attributes including:
- Demonstrated skill in performing the typical assignments and in achieving the primary goals listed above
- Experience of 12-15 years as a Solutions Architect, Technical Marketing Engineering, Corporate Systems Engineer, Technical Product Manager, Interoperability Test Engineer, Technical Sales Engineer, or similar role
- Discipline in program managing oneself and others to deliver on objectives
- Openness, transparency, and honesty with oneself and others as it pertains to intentions, objectives, plans, and execution
- A habit of facing and overcoming difficult technical and business challenges, or failing while putting forth one’s best effort, leaning, and forging on
- An innate desire to deeply learn new technologies and customer workloads with a strong understanding of the problems being solved and the business value derived
- A bias for action and results, viewing failure as necessary and educational
- Taking ownership of one’s tasks, contributing actively to projects and objectives, and understanding the impact of one’s performance on the team’s success
- A bias for exercising the principle of charity, interpreting the words and actions of others in the best, strongest, and most rational way possible
It is expected that Storage Solutions Engineering Team members will be deeply familiar with at least a few relevant technology areas and broadly familiar with several others. Such technology areas (with example vendors and products) include:
- Enterprise Storage: IBM, Dell-EMC, NetApp, Pure, DDN, HPE, Ceph, etc.
- Hyperconverged Infrastructure: Nutanix, HPE SimpliVity, Dell-EMC VxRail, Cohesity, Red Hat, Pivot3, etc.
- Virtualization: VMware, MS Hyper-V, Nutanix AOS, Red Hat OpenShift, KVM, SUSE, Citrix, etc.
- AI/ML: Nvidia, IronYun, Data Monsters, etc.
- Data Protection: Veeam, Commvault, Cohesity, Rubrik, etc.
- Database: SAP, Oracle, MS SQL Server, Snowflake, IBM Db2, MS Access, MySQL, MongoDB, PostgreSQL, ELK, MariaDB, Redis, Elasticsearch, Databricks, OpenText (Vertica), EnterpriseDB, etc.
- Server Infrastructure: IBM, Dell-EMC, Lenovo, Cisco, Supermicro, etc.
- Hyperscalar / Public Cloud: Amazon AWS, Google GCP, MS Azure, etc
- Data Security and Resiliency: IBM QRadar, IBM Gardium, Splunk, Thales