Security Engineer

• Lead the design and implementation of end-to-end security architecture for distributed storage platforms
• Partner closely with Data Path engineering teams to ensure secure, high-performance data movement across storage tiers
• Lead threat modeling, security reviews, and Secure Software Development Lifecycle (SSDLC) practices across the platform.
• Define identity and access management (IAM) integrating enterprise identity providers
• Architect fine-grained authorization models using RBAC and ABAC across tenants, datasets, and resources.

Staff Security Engineer

Director

• Lead, mentor, and develop the Sales Engineering team across the Americas
• Define regional SE strategy aligned with global go-to-market objectives
• Establish best practices for discovery, solution design, POCs, and technical close
• Partner with Sales leadership to support pipeline growth, deal strategy, and forecast accuracy
• Serve as an executive technical sponsor for strategic and high-value customer engagements
• Provide escalation support for complex deals, competitive situations, and executive presentations
• Ensure consistent technical messaging and architectural standards across the region
• Guide teams in positioning DDN solutions for performance-critical, data-intensive, and regulated environments
• Act as the voice of the field to Product Management and Engineering, influencing roadmap priorities
• Partner with Marketing and Enablement teams on messaging, demos, and technical training
• Work closely with Professional Services and Support to ensure seamless customer transitions post-sale
• Recruit, onboard, and retain top Sales Engineering talent
• Set performance goals, coach career development, and conduct performance reviews
• Support capacity planning, regional coverage models, and resource alignment
• Drive operational rigor through metrics, reporting, and continuous improvement

SE Director

Account Executive

• Own and drive revenue growth within assigned Manufacturing accounts and territory
• Develop and execute strategic account plans targeting automotive, industrial, and advanced manufacturing customers
• Identify, qualify, and close new business opportunities aligned with DDN’s AI and data platform solutions
• Build strong relationships with key stakeholders including CIOs, CTOs, data leaders, and engineering teams
• Partner with pre-sales engineers and solution architects to deliver tailored solutions that address customer challenges
• Lead complex sales cycles from prospecting through negotiation and close
• Collaborate cross-functionally with marketing, product, and customer success teams to ensure successful customer outcomes
• Maintain accurate pipeline management and forecasting within CRM systems

Full-stack Engineer

• Define and own performance architecture for data path and I/O path components across distributed file systems
• Lead performance analysis and optimization of large-scale, high-performance, scale-out file systems
• Architect performance-aware designs across CPU, memory, storage, and network layers
• Drive optimization of performance-critical file system code, primarily in C++
• Establish best practices for performance measurement, profiling, benchmarking, and regression detection
• Lead deep-dive investigations into complex, system-wide performance issues
• Influence system architecture with a performance-first mindset
• Mentor senior and staff engineers on performance engineering techniques and methodologies
• Collaborate with cross-functional teams to ensure performance goals are met across the stack
• Represent performance considerations in design reviews and long-term roadmap planning

Senior Staff Software Engineer - Performance

• Lead the design and implementation of high-performance data movement pipelines using NVIDIA NIXL across GPU, CPU, and storage tiers.
• Architect and drive integration of DDN Infinia with GPU-accelerated inference platforms for large-scale, real-time AI workloads.
• Own end-to-end optimization of I/O paths between GPU memory and storage using technologies such as NVIDIA GPUDirect Storage, RDMA, and NVMe-over-Fabrics.
• Define and implement multi-tier storage architectures (NVMe, SSD, object storage) optimized for inference latency, throughput, and scalability.
• Lead development of advanced KV cache management strategies, including offloading, prefetching, and persistence across distributed storage layers.
• Partner with AI/ML engineering teams to optimize inference performance in frameworks such as PyTorch and TensorFlow.
• Establish benchmarking frameworks and lead performance tuning efforts for storage and data movement in production inference environments.
• Diagnose and resolve complex system bottlenecks across storage, networking, and GPU subsystems.
• Influence architecture decisions for distributed inference systems, ensuring scalability, resilience, and efficient data locality.
• Drive engineering excellence through best practices in observability, performance monitoring, automation, and reliability engineering.
• Mentor junior engineers and provide technical leadership across cross-functional teams.

Senior Staff Engineer

• Lead and coordinate the resolution of major incidents, ensuring efficient triage, response, and communication during critical outages or disruptions.
• Serve as the primary escalation point for complex customer issues, working closely with senior leadership to drive solutions and manage customer expectations.
• Own the customer experience during high-severity incidents and escalations, ensuring clear communication and alignment between customers, support teams, and internal stakeholders.
• Design and implement best practices for incident management, leveraging automation and AI tools to reduce incident response time and increase resolution accuracy.
• Lead and mentor the incidents and escalation teams, ensuring continuous professional development, cross-training, and effective team collaboration.
• Collaborate with Product Development, Engineering, and other departments to identify root causes of incidents, driving long-term product and service improvements.
• Develop and maintain key performance indicators (KPIs) for incident management, continuously improving processes for faster resolution times and closed loop process improvements.
• Partner with senior leadership to develop and execute strategic initiatives aimed at improving incident response and reducing future incidents, including the introduction of proactive monitoring tools and AI-driven insights.

Staff Security Engineer

SE Director

Account Executive

Senior Staff Software Engineer - Performance

Senior Staff Engineer

Director – Incidents and Escalations