• Participate in the design, implementation and code review process of backend solutions. • Use infrastructure based on AWS, Jenkins, Docker, Kubernetes, Kafka, Gradle, Git, etc. • Design modular, scalable and portable solutions • Write clean, readable and reusable code, on time and quality • Be able to deliver to deadlines, as required in the agile methodology • Be able to organize and prioritize work appropriately, as required

• Continuously develop and enhance the VIS-Tool application in an agile environment. • Design and implement modular extensions to automate order request processes (Abrufaufträge) in the CVS/CPS landscape. • Replace manual, Excel-based workflows with scalable, web-based solutions. • Implement functional changes across multiple application modules. • Develop backend and frontend components using Java, JavaScript, and SQL with Oracle databases. • Design technical solutions at module and component level within existing system architectures. • Integrate VIS-Tool with internal microservices, contract systems, and master data sources. • Provide technical consulting and advisory support to business stakeholders. • Collaborate closely with developers, analysts, and business teams in cross-functional agile setups. • Contribute to technical documentation and overall system transparency. • Support the stability, maintainability, and continuous improvement of the application.

• Continuous development and enhancement of the IPLS-ROT application • Implementation of changes across multiple small but diverse functional areas • Backend development within an existing system architecture • Solution design at component and feature level • Technical consulting and advisory support for business stakeholders • Collaboration with cross-functional teams in an agile environment • Contribution to documentation and overall system understanding

• Own Distributed Storage Architecture: Define, evolve, and operate Runpod’s global storage platforms, supporting training, inference, checkpointing, and dataset access at scale. • Build the Storage Engineering Team: Manage and grow a team of storage and systems engineers. Set clear ownership, technical direction, and operational standards across regions. • High-Performance Shared Filesystems: Design and operate large-scale SAN and NFS deployments, including performance-sensitive shared storage for GPU clusters. • Advanced Filesystems & Platforms: Lead deployments and operations of VAST Data and experience with Lustre or similar parallel filesystems used in HPC and AI environments. • End-to-End Performance Ownership: Drive performance optimization from NAND and NVMe media through controllers, networking, and client access patterns. • Next-Generation Storage Technologies: Evaluate and deploy cutting-edge capabilities such as NFS over RDMA, GPU Direct Storage (GDS), and low-latency data paths for accelerated workloads. • Reliability & Scale: Establish best practices for replication, data tiering, data protection, failure recovery, capacity planning, and lifecycle management. • Automation & Observability: Build automation for provisioning, expansion, upgrades, and monitoring. Ensure deep observability into throughput, latency, and error characteristics. • Cross-Functional Collaboration: Partner with Datacenter Networking, GPU Platform, SRE, and Product teams to ensure storage systems meet evolving workload and customer needs. • Vendor & Partner Management: Own technical relationships with storage vendors, hardware partners, and colocation providers; drive roadmap alignment and issue resolution.