Storage Client Solutions Engineer
Role details
Job location
Tech stack
Job description
The Entry Level Storage Client Solutions Engineer is an early career technical role designed for highly motivated graduates who want to build deep expertise across modern storage, infrastructure, hybrid cloud, and AI driven solutions. This is not a quota-carrying sales role. You will work alongside senior engineers, product leaders, and ecosystem partners to support strategic solution design, technical validation, and scalable client engagement.
You will develop into a trusted technical advisor by learning how IBM Storage solutions power hybrid cloud infrastructure for AI, data intensive AI workloads, next generation applications, and mission critical customer environments. This role is an opportunity to grow into a future solutions engineer capable of driving measurable customer outcomes and contributing to IBM's broader storage and hybrid cloud strategy.
Roles and Responsibilities
- Support senior engineers in client discovery, requirement analysis, and early technical qualification
- Participate in conversations with clients on emerging technologies and challenging solution opportunities, providing research, demos, or technical collateral
- Conduct lab validation, PoC setups, solution testing, and basic architectural documentation
- Contribute to the creation of repeatable solution assets, including configuration guides, validation briefs, and internal knowledge articles based on the client solutions
- Support integration of successful client solutions into broader solutions roadmaps and GTM assets
- Assist with operational tasks for partner programs, enablement sessions, ecosystem onboarding, and curated demos
- Support analysis of solution adoption, customer/partner activity, and technical enablement metrics
Required technical and professional expertise
- Enterprise storage or SDS fundamentals (IBM Storage, Dell, NetApp, Pure, Ceph, etc.)
- Basics of block, file, object, RAID, snapshots, replication, and performance concepts
- Virtualization platforms (VMware, Hyper V, KVM)
- Containers and orchestration (Kubernetes, OpenShift, Docker fundamentals)
- Basic understanding of cloud platforms (AWS, Azure, GCP)
- Exposure to data pipelines, AI/ML frameworks, or modern analytics platforms is a plus
Requirements
- A strong desire to learn new technologies deeply and continuously
- Curiosity and willingness to ask questions, experiment, and solve challenging problems
- Collaboration, transparency, and a "help first" mindset with teammates and partners
- Ownership mentality: you follow through, deliver, and care about impact
- A bias for action and resilience-comfortable learning through iteration and failure
- Clear communication skills and the ability to translate technical concepts simply
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