Storage Client Solutions Engineer Professional

IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward‑thinker and to focus on innovation that matters, is all supported by our growth‑minded culture as we continue to drive career development across our teams.

Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our clients' needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

The mission of the IBM Storage Solutions Team is to engage with strategic ISV and OEM partners that may advance the IBM Storage strategy to expand the marketability of the portfolio, create short‑ and long‑term alignment of solutions roadmaps, and engage in collaborative GTM. The team will:

• Engage with the entire IBM Storage brand – product managers, engineers, technologists, researchers, marketers, and sellers - and the same with our technology partners worldwide
• Prioritize and lead strategic client engagements with solutions engineering expertise
• Design, build, and operate a world‑class strategically‑aligned ISV program

Our primary intention is to realize measurable, material, incremental business for the Storage product team accredited to our joint in‑market solutions with technology partners.

This group is comprised of technology and business professionals who are intent on bringing to market impactful customer solutions based on the IBM Storage assets of today and the future. It will have influence over our 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 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 education

• Bachelor's Degree

Preferred education

• Master's Degree

Required technical and professional expertise

• Enterprise storage or SDS fundamentals (IBM Storage, Dell, Net App, Pure, Ceph, etc.)
• Basics of block, file, object, RAID, snapshots, replication, and performance concepts
• Containers and orchestration (Kubernetes, Open Shift, Docker fundamentals)
• Basic understanding of cloud platforms (AWS, Azure, GCP)
• Exposure to data pipelines, AI/ML…