AI Storage Engineer

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.  We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role Your Role At Kyndryl, we design, build, manage, and modernize the mission-critical technology systems that the world depends on every day. As an AI Storage Engineer , you will play a critical role in supporting the high-performance storage platforms that power AI, machine learning, and large-scale compute environments. You will be responsible for the operation, reliability, and performance of IBM Spectrum Scale (GPFS) storage environments, ensuring seamless access to data across distributed AI and HPC workloads. Working closely with infrastructure, compute, networking, and platform engineering teams, you will help maintain large-scale storage clusters, optimize performance, troubleshoot complex issues, and drive continuous service improvements. If you're passionate about enterprise storage, distributed file systems, and solving challenging performance problems at scale, this role offers the opportunity to work at the forefront of AI infrastructure. What You'll Do Install, configure, administer, and maintain IBM Spectrum Scale (GPFS) clusters, Network Shared Disks (NSDs), filesystems, file sets, and storage pools. Monitor and optimize storage capacity, IOPS, latency, throughput, and overall cluster health to ensure high availability and performance. Manage GPFS architecture components, including quorum nodes, storage policies, replication, tiering, and data lifecycle management. Perform root cause analysis (RCA) and troubleshooting for complex storage, performance, connectivity, and filesystem issues across distributed environments. Support storage lifecycle activities including upgrades, patching, migrations, capacity expansion, and performance tuning initiatives. Develop and implement storage policies, quotas, data placement strategies, and automation processes to meet business and operational requirements. Collaborate with compute, network, platform, and application teams to support AI, HPC, and data-intensive workloads. Participate in incident response, problem management, operational readiness reviews, and continuous improvement initiatives to strengthen service reliability. Your Future at Kyndryl At Kyndryl, learning and growth are part of everyday work. As an AI Storage Engineer, you'll gain hands-on experience supporting cutting-edge AI and high-performance computing environments while developing expertise in large-scale distributed storage systems. You'll collaborate with experienced infrastructure specialists, architects, and platform engineers while expanding your knowledge across AI infrastructure, storage engineering, automation, SRE practices, and cloud technologies. Whether your career path leads toward storage architecture, site reliability engineering, infrastructure leadership, or AI platform engineering, Kyndryl provides the opportunities, training, and support to help you achieve your goals. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important, you have a growth mindset and are keen to drive your own personal and professional development. You are customer-focused, someone who prioritizes customer success in their work. And finally, you’re open and borderless, naturally inclusive in how you work with others.  Required Skills and Experience Bachelor's Degree or Diploma in Computer Science, Information Technology, Computer Engineering, Electrical Engineering, or a related technical discipline. Minimum 5+ years of experience supporting enterprise storage, distributed file systems, storage infrastructure, or large-scale data center environments. Deep hands-on experience with IBM Spectrum Scale (GPFS) architecture, administration, and operations. Strong understanding of GPFS concepts including quorum nodes, Network Shared Disks (NSDs), filesets, storage pools, storage policies, replication, and cluster management. Experience installing, configuring, upgrading, and maintaining enterprise storage clusters and distributed filesystem environments. Strong knowledge of storage networking and protocols including SAN, NAS, Fibre Channel, iSCSI, NFS, and SMB . Experience monitoring and optimizing storage performance metrics including IOPS, latency, throughput, capacity utilization, and file system performance. Proven troubleshooting skills across storage hardware, filesystems, networking, and cluster components. Experience conducting root cause analysis (RCA) for complex infrastructure and performance incidents. Familiarity with change management, incident management, problem management, and operational best practices. Strong communication and stakeholder management skills. English language proficiency is required. Preferred Skills and Experience Experience supporting AI, machine learning, HPC, GPU, or large-scale data analytics environments. Knowledge of InfiniBand , RDMA , and high-performance interconnect technologies. Experience with storage automation, scripting, and operational tooling using Python, Bash, Ansible, or similar technologies. Familiarity with Linux operating systems, cluster administration, and distributed computing environments. Experience working in Site Reliability Engineering (SRE), platform engineering, or large-scale production support environments. Knowledge of storage performance tuning for AI, HPC, and data-intensive workloads. Experience integrating storage platforms with Kubernetes, OpenShift, containerized environments, or cloud-based infrastructure. Relevant certifications related to IBM Spectrum Scale, enterprise storage, Linux administration, or infrastructure operations. Experience operating in mission-critical, highly available enterprise environments.   Being You The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way. What You Can Expect Your career with us isn’t just a job—it’s an adventure with purpose.  We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skill