Storage Client Solutions Engineer

The Storage Client Solutions Engineer combines technical expertise with strategic solutions architecture acumen. This is not a quota-carrying sales role. You will play a critical role in advancing IBM's storage solutions by leading complex customer engagements, accelerating the adoption of next-generation technologies, and shaping scalable, repeatable architectures across customers and ecosystem partners. You will be responsible for technical excellence, solution delivery, and strategic customer outcomes across a broad technology portfolio.

You will:

• Prioritize and lead strategic client engagements with solutions engineering expertise

• Engage directly with clients on emerging and technically challenging opportunities, where architectures and requirements are still evolving.

• Translate successful customer implementations into repeatable solution patterns that inform IBM's broader solutions strategy and roadmap.

• Partner with customers and internal teams to develop public references, solution assets, and go-to-market enablement that scale impact beyond individual engagements.

Required technical and professional expertise

• Solutions Architect or Technical Sales Engineer
• Technical Marketing Engineering or Corporate Systems Engineer
• Technical Product Manager or Technical Product Architect

Hands-on expertise across several of the following technology domains (with deep expertise in some areas and working knowledge in others):

• Enterprise Storage & Software-Defined Storage: IBM, Dell Technologies, NetApp, Pure Storage, DDN, HPE, Red Hat Ceph, MinIO, etc.
• Hyperconverged & Composable Infrastructure: Nutanix Cloud Platform, HPE SimpliVity, Dell VxRail, Red Hat OpenShift Data Foundation, Cisco HyperFlex, Scale Computing, etc.
• Compute & Server Infrastructure: Dell Technologies, HPE, Lenovo, IBM Power Systems, Cisco UCS, Supermicro, Asus, etc.
• Virtualization & Container Platforms: VMware Cloud Foundation, Microsoft Hyper-V / Azure Stack HCI (Azure Local), Nutanix AOS, Red Hat OpenShift, KVM, SUSE Rancher, Citrix DaaS, etc.
• Hyperscale & Public Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), plus hybrid integrations (Outposts, Azure Arc, Anthos).
• AI / ML & Accelerated Computing: NVIDIA (CUDA, AI Enterprise), IronYun, Data Monsters, Hugging Face, TensorFlow/PyTorch ecosystems, etc.
• Data Management, Analytics & Lakehouse Platforms: Databricks, Snowflake, OpenText (Vertica), IBM Db2, Elasticsearch, OpenSearch, ClickHouse, etc.
• Databases (Commercial & Open Source): SAP HANA, Oracle, Microsoft SQL Server, PostgreSQL, MySQL, MongoDB, MariaDB, Redis, EnterpriseDB, etc.
• Data Protection, Backup & Cyber Recovery: Veeam, Commvault, Cohesity, Rubrik, Veritas, cloud-native protection services, etc.

Preferred technical and professional experience

• 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