At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You’ll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.
As a Back-End Developer for Storage, you will design, develop, unit test, and deliver offerings for IBM Storage products using agile practices and DevOps tooling. You will work in a collaborative environment to understand requirements and create creative solutions to client problems, emphasizing fail-first, fail-fast methods and world-class quality. Your primary responsibilities will include: • Design and Develop Solutions: Design, code, debug, and test creative solutions to client problems and requirements, utilizing programming languages such as Python and GoLang • Collaborative Problem-Solving: Work collaboratively to understand requirements and deliver high-quality solutions, emphasizing fail-first, fail-fast methods and user mode programming. • Ensure Quality and Resiliency: Ensure world-class quality and resiliency in solutions, supporting strategic imperatives including artificial intelligence and cloud. • Test and Deliver Offerings: Unit test and deliver offerings for IBM Storage products, utilizing agile practices and DevOps tooling. • Support Strategic Imperatives: Support strategic imperatives, including artificial intelligence and cloud, through the development of innovative storage solutions.
• Exposure to Agile Development: Experience working with agile practices and DevOps tooling to design, develop, and deliver software offerings. • Programming Languages: Exposure to programming languages such as Python, GoLang and scripting languages (Ansible). • Storage Technologies: Experience working with storage technologies, including Linux, Unix, AIX, and RTOS, as well as industry-standard protocols such as PCIe, NVMe, NVMeoF, Fibre Channel, and SCSI. • Container Software: Exposure to container software such as Red Hat OpenShift or Kubernetes. • Disaster Recovery: Exposure to fundamentals of DR and data resiliency.
Distributed Systems & Data Consistency: Strong expertise in designing and operating distributed systems, including replication strategies, consensus models, failure handling, and consistency trade-offs across multi-cluster environments.
Disaster Recovery Architectures: Hands-on experience implementing application-level DR patterns such as active-active / active-passive setups, failover orchestration, RPO/RTO optimization, and geo-replication across Kubernetes/OpenShift environments.
Cloud-Native & Kubernetes Ecosystem: Deep proficiency in Kubernetes, containerized workloads, and operators (e.g., CSI, Velero, ODF components), including storage abstractions, backup/restore workflows, and stateful application lifecycle management.
Storage & Data Resiliency Technologies: Solid understanding of software-defined storage (e.g., Ceph, block/file/object storage), data protection mechanisms (snapshots, replication, erasure coding), and their integration with application-level recovery solutions.
Observability, Automation & Reliability Engineering: Experience building highly observable and self-healing systems using metrics, logging, tracing, and automation frameworks; strong focus on fault injection testing, chaos engineering, and continuous validation of DR readiness.
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