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Lead systems and storage performance engineering at staff or principal level. Profile and tune Linux storage I/O paths and kernel modules, benchmark distributed storage at scale, and optimize NVMe, RDMA, NUMA, networking, RAID, and erasure-coding data paths. Develop tooling in C and Python, use Linux performance-analysis tools, and implement build gates and smoke tests. Preferred experience includes Lustre, software-defined NVMe-oF, cloud bare-metal platforms, and ConnectX-class NICs.

Designs, automates, and executes test plans for enterprise storage platforms. Builds test frameworks, performs smoke, sanity, performance, and stress testing, investigates defects through root cause analysis, and collaborates with developers on test strategy and issue resolution. The role requires hands-on Linux troubleshooting, storage protocol knowledge, hypervisor experience, and scripting ability, preferably in Python.

Provides technical leadership for hybrid cloud and bare-metal infrastructure, developer platforms, infrastructure automation, platform APIs, observability, and release pipelines. Collaborates with development, DevOps, and QA teams to resolve deployment challenges, improve staging and testing workflows, support incident response, and conduct architectural reviews. Mentors engineers and participates in on-call support. The role requires hands-on expertise with Python or Go, Terraform, Helm, Kubernetes, and potentially GPU-accelerated or HPC infrastructure.

Leads cybersecurity operations and compliance, including SOC 2 and ISO 27001 programs, threat and vulnerability management, threat hunting, incident response, malware analysis, SIEM administration, endpoint protection, and security technology strategy. Oversees hybrid infrastructure security, regulatory compliance, disaster recovery, security policies, budgets, technology selection, and development of high-performing cybersecurity teams.

Designs and leads high-performance distributed file system infrastructure, including I/O cores, concurrency, synchronization, QoS, resource management, storage subsystems, and runtime systems. Develops C/C++ software on Linux, integrates SPDK, drives architecture and technical strategy, owns the software lifecycle, resolves production issues, and mentors engineers. The role requires extensive distributed systems expertise, performance optimization, and collaboration across globally distributed teams.

Develop and maintain automated tests for Infinia’s distributed data platform. Responsibilities include system validation, performance and scalability testing, reliability analysis, defect troubleshooting, CI/CD integration, test documentation, and collaboration with development, QA, and DevOps teams. The role requires strong Python automation skills, advanced Linux knowledge, experience with distributed storage or infrastructure systems, Docker, and test frameworks such as Pytest.

Leads strategic AI ecosystem and NVIDIA-related business development across EMEA. Builds executive, sales, partner, and technical relationships; identifies and influences AI infrastructure opportunities; develops qualified pipelines; supports regional sales teams; provides competitive and market intelligence; and represents DDN at industry and partner events. The role focuses on shaping complex technology opportunities from early engagement through deployment and expanding DDN’s ecosystem reach.

Develop control plane services and management APIs for Data Ocean platform orchestration, configuration, monitoring, and integration. Build automation and validation frameworks for functional, integration, regression, and system testing across distributed storage environments. Troubleshoot complex software issues, improve CI/CD processes, support release readiness, and collaborate with engineering, QA, DevOps, and architecture teams. The role requires hands-on development in C++, Go, or Java within Linux-based distributed systems.

Leads AI value discovery workshops and translates enterprise AI infrastructure needs into measurable business outcomes. Develops ROI, TCO, financial models, investment cases, benchmarks, and reusable value-engineering frameworks. Supports strategic sales opportunities, executive presentations, field enablement, and customer-facing teams across EMEA. Partners with Product Marketing and Product teams on value messaging, proof points, and success metrics while helping establish an AI Value Engineering Centre of Excellence.

Lead DDN’s global benefits strategy and execution across health, retirement, leave, insurance, wellbeing, and related programs. Own plan design, renewals, compliance, vendor management, budgeting, employee communications, and process improvements across multiple countries, entities, EORs, and employment models. Partner with HR, Finance, Legal, Payroll, and regional teams while overseeing a small global benefits execution team and simplifying decentralized operations.