DDN

Role Description The Senior HRIS Engineer will play a hands-on role in DDN’s multi-year business systems modernization. You will work on enhancing DDN’s HR technology ecosystem, with Workday as the core HCM platform while driving innovation in and around it through modern orchestration technology, workplace AI, and frontier models. Partnering closely with HR, Finance, and technical teams on solution design, our team is a group of highly talented, dedicated professionals who will challenge and empower you to solve big problems. - Serve as a key engineer and product lead for our Workday HCM deployment including configuration, testing, documentation, and ongoing enhancements in areas such as core HCM, time, absence, advanced comp, payroll, and benefits. - Partner with HR stakeholders to translate business needs into practical system designs, process improvements, and supportable solutions. - Configure and maintain HR business processes, security, calculated fields, reports, dashboards, and data validations as needed. - Work closely with integration and automation team to improve connectivity between Workday and other internal/external applications for operations, analytics, workflow automation, and embedded AI. - Help establish strong operational discipline through clear documentation, ticket handling, sprint participation, and visible delivery tracking. Qualifications - A curious, service-oriented approach and a genuine interest in understanding the business context behind requirements. - 4–7 years of experience in HRIS, HCM systems, or Workday-focused engineering/analyst roles. - Practical experience in several of the following areas: Core HCM, Reporting, Absence and Time Tracking, Talent Management, Payroll, and Benefits. - Experience supporting system enhancements, implementations, or post-go-live optimization in a growth environment. - Data-driven mindset; able to use reporting and process insight to guide recommendations. - Strong written and verbal communication skills, with the ability to explain system behavior and tradeoffs clearly. Nice to have - Experience working in global or multi-country HR environments. - Exposure to Peakon, LMS platforms, or HR integrations. - Experience partnering on automation, integrations, or AI-enabled workflow improvements. - Exposure to work management technologies such as Jira and modern gen AI models such as Claude and Gemini.

Role Description At DDN, you will work on problems that sit at the heart of modern infrastructure: - Scaling and optimizing Network File Systems - Building and improving distributed file systems and object storage - Tuning performance across kernel-level and user-space I/O stacks - Working with NVMe, SSDs, RDMA, and high-speed networking - Integrating storage platforms into Kubernetes-native environments - Using Python to automate, debug, test, and improve complex systems Your work will directly influence how high-performance data platforms behave under real-world load, not just in theory. What you’ll do: - Design, build, and optimize features across DDN’s NFS and storage stack - Diagnose bottlenecks across file systems, storage media, networking, and I/O paths - Improve performance, scalability, and resiliency in distributed storage environments - Work across kernel-space and user-space components to solve hard systems problems - Collaborate with engineers across storage, systems, and platform layers - Develop tooling and automation in Python to improve observability, testing, and operations - Help shape the next generation of infrastructure for AI and data-intensive workloads Qualifications - Strong hands-on experience with Network File Systems (NFS) - Deep understanding of distributed file systems - Experience with object storage - Production experience with Kubernetes - Strong Python skills - Experience working on kernel-level and/or user-space I/O stacks - Familiarity with NVMe, SSDs, RDMA, and high-speed networking - A systems mindset: you know how to debug complex performance and reliability issues across layers Requirements You’ll thrive here if: - You are energized by low-level systems work - You like solving problems most engineers avoid because they are too deep, too subtle, or too performance-sensitive - You care about the details of how storage and networking behave under pressure - You want your work to matter in environments where performance is mission-critical This role is probably not for you if: - Your background is primarily general backend, SRE, or platform engineering without deep storage/filesystem ownership - You’ve used storage systems, but haven’t built or debugged them at a systems level - You prefer abstraction layers over getting hands-on with performance, I/O paths, and infrastructure internals - You want a role focused on coordination more than engineering depth

Role Description As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions. Work across finance, pharmaceuticals, education, and physical AI—designing systems that power real-time trading, accelerate drug discovery, enable groundbreaking research, and fuel autonomous systems. You'll translate complex customer requirements into elegant technical solutions, demonstrate capabilities through POCs and benchmarks, and serve as a trusted advisor throughout the sales cycle. What You'll Do - Customer Engagement - Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion. - Translate technical requirements into elegant, scalable storage solutions that exceed expectations. - Act as trusted technical advisor throughout the sales cycle. - Solution Design - Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads. - Design for reliability, resilience, security, and scale—balancing performance with data protection. - Create BOMs, system architectures, and technical proposals for complex RFPs. - Conduct live demos, POCs, and performance benchmarking. - Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks. - Innovation & Growth - Stay current on AI infrastructure and storage technology trends. - Collaborate with Product and Engineering teams using field insights. - Mentor team members and contribute to technical thought leadership. - Shape product direction based on customer needs. Qualifications - Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems. - Knowledge of architectural patterns for reliability, resilience, security, and scale. - Understanding of storage and data protocols: S3, POSIX, NFS, SMB. - Familiarity with network protocols: TCP/IP, InfiniBand, RDMA. - Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler). - Aptitude for AI workloads and how storage enables AI innovation. - Ability to communicate technical concepts to both engineers and executives. Requirements - Entry Level (0-3 years) - Bachelor's in Computer Science, Engineering, or related field (or equivalent experience). - Exposure to storage/systems through coursework, internships, or projects. - Strong analytical and problem-solving skills. - Customer-facing communication skills. - Experienced (3+ years) - 3-8+ years in pre-sales, solutions architecture, or technical consulting. - Proven track record designing storage/infrastructure solutions. - Hands-on experience with enterprise storage systems. - Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred). - Success managing complex technical sales cycles. What Sets You Apart - Genuine curiosity about AI and its impact across industries. - Ownership mindset—you solve problems until they're solved. - Ability to translate technical complexity into business value. - Thrive in fast-evolving technology environments. - Collaborative team player with integrity and empathy.

Role Description As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions. Work across finance, pharmaceuticals, education, and physical AI—designing systems that power real-time trading, accelerate drug discovery, enable groundbreaking research, and fuel autonomous systems. You'll translate complex customer requirements into elegant technical solutions, demonstrate capabilities through POCs and benchmarks, and serve as a trusted advisor throughout the sales cycle. What You'll Do - Customer Engagement - Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion. - Translate technical requirements into elegant, scalable storage solutions that exceed expectations. - Act as trusted technical advisor throughout the sales cycle. - Solution Design - Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads. - Design for reliability, resilience, security, and scale—balancing performance with data protection. - Create BOMs, system architectures, and technical proposals for complex RFPs. - Conduct live demos, POCs, and performance benchmarking. - Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks. - Innovation & Growth - Stay current on AI infrastructure and storage technology trends. - Collaborate with Product and Engineering teams using field insights. - Mentor team members and contribute to technical thought leadership. - Shape product direction based on customer needs. Qualifications - Technical Foundation (All Levels) - Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems. - Knowledge of architectural patterns for reliability, resilience, security, and scale. - Understanding of storage and data protocols: S3, POSIX, NFS, SMB. - Familiarity with network protocols: TCP/IP, InfiniBand, RDMA. - Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler). - Aptitude for AI workloads and how storage enables AI innovation. - Ability to communicate technical concepts to both engineers and executives. - Entry Level (0-3 years) - Bachelor's in Computer Science, Engineering, or related field (or equivalent experience). - Exposure to storage/systems through coursework, internships, or projects. - Strong analytical and problem-solving skills. - Customer-facing communication skills. - Experienced (3+ years) - 3-8+ years in pre-sales, solutions architecture, or technical consulting. - Proven track record designing storage/infrastructure solutions. - Hands-on experience with enterprise storage systems. - Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred). - Success managing complex technical sales cycles. What Sets You Apart - Genuine curiosity about AI and its impact across industries. - Ownership mindset—you solve problems until they're solved. - Ability to translate technical complexity into business value. - Thrive in fast-evolving technology environments. - Collaborative team player with integrity and empathy.

Role Description DDN is seeking a Treasury Analyst to support day-to-day global treasury operations and contribute to high-impact projects across banking, cash management, systems, and controls. This role will partner closely with the Head of Treasury and work cross-functionally with Accounting, FP&A, AP, AR, Payroll, Tax, Legal, and external banking partners. The ideal candidate is detail-oriented, analytical, highly organized, and comfortable operating in a global, multi-entity, multi-bank environment. - Prepare and maintain the daily global cash position across multiple banks, entities, and currencies - Support short-term cash forecasting and variance analysis, including key inputs from AR, AP, payroll, taxes, and other major cash flows - Assist with domestic and international payment execution, including wires and other time-sensitive transactions - Monitor liquidity needs for payroll, tax, benefits, and operating activity - Support bank account administration, signer updates, KYC requests, and portal entitlements across global banking partners - Contribute to treasury projects including bank account rationalization, cash management process improvements, and ERP / Workday-related treasury support Qualifications - Bachelor’s degree in Finance, Accounting, Economics, Business, or a related field - 2–4 years of experience in treasury, corporate finance, banking, or a similar analytical role - Strong Excel skills and comfort working with large, multi-source datasets - Familiarity with ERP systems; Workday experience is a plus - Strong organizational skills, attention to detail, and ability to manage multiple priorities effectively - Clear written and verbal communication skills and a collaborative working style Requirements - Experience in a global, multi-entity, multi-currency environment - Experience with cash positioning, payment operations, and bank portals in a corporate or banking environment - Understanding of core treasury concepts including liquidity management, cash forecasting, payment controls, and bank account administration - Exposure to treasury systems, bank connectivity, or cash management implementations

Role Description At DDN, you will work on infrastructure challenges that sit at the core of modern high-performance systems: - Building and optimizing FUSE-based file system technologies - Working across Linux kernel file systems and user-space infrastructure layers - Designing high-performance infrastructure for distributed storage environments - Improving how object storage systems behave under real production workloads - Working with RDMA networking principles and high-speed data movement - Solving performance bottlenecks across networking, storage, and I/O pathways - Developing systems-level infrastructure in C and C++ - Building platforms that support AI, HPC, and large-scale data-intensive workloads Your work will directly influence how large-scale infrastructure platforms perform in real-world production environments — not just in theory. Qualifications - Strong hands-on experience developing with FUSE and Linux file systems - Deep understanding of Linux kernel file system architecture - Strong programming skills in C and C++ - Strong understanding of POSIX file system principles - Experience with object storage systems and distributed infrastructure - Familiarity with RDMA networking principles and high-speed networking technologies - Experience working close to kernel-space and user-space I/O paths - Strong systems mindset with the ability to debug complex infrastructure and performance issues - Experience building or optimizing infrastructure platforms in production environments Requirements - You enjoy low-level systems and infrastructure engineering - You care deeply about performance, scale, and reliability - You like solving technical problems that most engineers avoid because they are too deep or performance-sensitive - You enjoy understanding how storage and networking behave under pressure - You prefer working close to the metal instead of purely abstracted application layers - You want to build infrastructure that directly powers mission-critical environments Benefits - This role is probably not for you if: - Your background is primarily application-layer or general backend development - You have limited experience with Linux internals, file systems, or infrastructure engineering - You prefer higher-level platform abstraction over systems-level development - You have not worked on performance-sensitive distributed systems - You want a coordination-heavy role rather than deep technical ownership

Role Description DDN is seeking a highly accomplished Principal Engineer – Security Architecture to define and drive the security strategy for next-generation distributed storage platforms spanning S3-compatible object storage, POSIX-compliant file systems, and KV cache–based data services. This role is responsible for architecting secure-by-design systems across the data path, control plane, and ecosystem/protocol layers that power high-performance, multi-tenant, AI-driven infrastructure at massive scale. As a senior technical leader, you will partner closely with storage architects, protocol engineers, platform teams, and security stakeholders to embed advanced security principles into every layer of the platform lifecycle. You will influence long-term architectural direction, establish foundational security standards, and guide implementation across globally distributed engineering organizations. The ideal candidate combines deep expertise in distributed systems security, cryptography, identity and access management, multi-tenant architectures, and infrastructure security with the ability to drive cross-functional technical strategy and execution. Key Responsibilities - Define and lead the long-term security architecture strategy for distributed storage platforms, including S3-compatible object storage, POSIX/NFS file systems, and KV cache–based data services. - Establish security architecture standards and secure-by-design principles across data path, control plane, orchestration, and protocol layers. - Partner with Data Path engineering teams to secure high-performance data movement across storage tiers, including encryption, integrity verification, secure I/O handling, and low-latency protection mechanisms. - Drive security architecture reviews, threat modeling, and Secure Software Development Lifecycle (SSDLC) practices across platform engineering initiatives. - Architect enterprise-grade Identity and Access Management (IAM) frameworks integrating LDAP, Active Directory, OIDC, Keycloak, SSO, MFA, federation, and delegated authorization models. - Design and govern fine-grained authorization systems leveraging RBAC, ABAC, metadata-aware policy enforcement, and tenant-scoped access controls. - Define scalable multi-tenant isolation architectures across namespaces, encryption boundaries, policies, quotas, and workload segregation domains while enforcing least privilege principles. - Collaborate with Control Plane engineering teams to design secure APIs, authentication workflows, policy orchestration, tenant lifecycle management, and platform governance controls. - Partner with Protocol and Ecosystem teams to secure S3, POSIX/NFS, and related interfaces, including request signing, session security, endpoint hardening, and protocol-level protections. - Lead platform-wide encryption and key management strategies for data at rest and in transit, including BYOK, tenant-scoped keys, dataset-level encryption policies, KMIP integration, and external KMS interoperability. - Define observability, telemetry, logging, auditing, and anomaly detection strategies to identify abnormal behavior, insider threats, and potential data exfiltration risks. - Drive adoption of Zero Trust security principles across distributed systems and infrastructure components. - Provide technical leadership, mentorship, and architectural guidance across cross-functional engineering teams, influencing secure implementation practices and platform evolution. - Represent security architecture initiatives in executive, customer, compliance, and strategic partner discussions as needed. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, Cybersecurity, or a related technical field. - 12+ years of experience in security architecture, distributed systems security, infrastructure security, or large-scale platform engineering. - Proven track record designing and securing large-scale distributed systems, storage platforms, or cloud-native infrastructure. - Deep understanding of distributed system architectures, including data path and control plane security models. - Extensive expertise in cryptography, encryption frameworks, secure key management systems, and PKI architectures. - Strong experience integrating external KMS platforms using KMIP or equivalent protocols. - Advanced knowledge of IAM frameworks, including RBAC, ABAC, SSO, MFA, federation, delegated authorization, and policy-driven access control systems. - Experience integrating enterprise identity providers such as LDAP, Active Directory, OIDC, and SAML-based systems. - Expertise in secure API design, TLS 1.3, mutual TLS, request signing mechanisms (e.g., SigV4), and service-to-service authentication models. - Experience designing secure multi-tenant platforms with strong isolation, governance, and policy enforcement mechanisms. - Strong understanding of security observability, logging, auditability, SIEM integration, and compliance-driven monitoring architectures. - Demonstrated ability to influence technical direction and drive cross-functional architectural initiatives across engineering organizations. Preferred Qualifications - Experience securing S3-compatible object storage, POSIX/NFS file systems, or high-performance distributed storage environments. - Familiarity with AI/ML infrastructure security, KV cache architectures, memory tiering systems, and GPU-centric distributed environments. - Experience integrating and managing security solutions across large-scale infrastructure platforms, including cloud, network, and application security domains. - Hands-on experience with BYOK architectures, tenant-scoped key management, and cryptographic isolation models. - Experience implementing ABAC using metadata classification, tagging, and contextual policy evaluation. - Strong background in Zero Trust architecture and distributed systems security engineering. - Knowledge of secure deletion techniques, including cryptographic erasure and secure lifecycle management. - Familiarity with compliance frameworks such as SOC 2, ISO 27001, NIST, FedRAMP, and enterprise security governance standards. - Experience designing security controls for high-throughput, low-latency distributed systems. - Familiarity with anomaly detection, behavioral analytics, and advanced security telemetry platforms. - Experience with Linux systems, scripting, automation, DevSecOps workflows, and infrastructure security tooling.

Role Description We are seeking a Sr Staff Software Engineer for the ongoing development of a S3 compliant high performance file system. The candidate must have proven development experience with technical leadership qualities, effective communication skills and is a self-starter. In addition, the candidate must collaborate with other teams and individuals worldwide to quickly learn DDN products/technology/setup & configuration. The candidate must be able to leverage and integrate the monitoring, health-check and alerting aspects around the product. - Maintain, extend, and improve our S3 implementation. - Design and develop in C/C++ under tight deadlines with minimal supervision. - Define and articulate technical designs with the appropriate details. - Full application development from design to development to testing to deployment. - Participate in technical reviews throughout the course of development. - Architecture and troubleshooting of system level components, especially the file system and related storage system components. - Undertake research based technical tasks: Define research approach, document results and derive conclusions. Should be able to design a solution based on the research conducted. - Mentor junior developers. - Support product deployment and production defect resolution in a timely manner. Qualifications - Accountable and highly motivated with solid people skills. - 12+ years' experience in system software development and complex problem resolution. - Expert knowledge of the following programming languages: C/C++. - Excellent Linux development and deployment skills including but not limited to file system development. - Full understanding of OS principles and architecture of Kernel procedures. - Broad range of experience with open-source development toolchain like gcc, gdb, g++, git. - Experience designing and developing parallel programs. - Good communication skills (verbal and written English). - Understanding of Linux File Systems. - Knowledge of user space IO frameworks such as Fuse, SPDK. Requirements - Strong understanding of RDMA network principles, libfabric, zero-copy, verbs, etc. (Nice to have). - Knowledge of performance engineering (Nice to have). - Experience working with Scrum Agile (Nice to have). - Experience of complex network programming, TCP/IP or RDMA (Nice to have).

Role Description We are seeking a Backend Software Engineer to join the Control Plane team for the DDN Infinia AI Data Platform. This role is critical in building the core backend services that power manageability, API-driven control, automation, and intelligent supportability across large-scale hybrid (OnPrem + cloud) environments. You will design and develop highly scalable, secure, and resilient backend systems that enable centralized orchestration, lifecycle management, policy enforcement, and integration with external systems. This role also involves enhancing API frameworks, improving supportability, and embedding security best practices across the platform. This is a hands-on technical leadership role focused on building foundational services that operate reliably at petabyte scale and support mission-critical AI/data workloads. Key Responsibilities - Design and build scalable, high-performance distributed backend services powering the platform control plane. - Develop APIs for centralized management of storage and compute across multi-region hybrid (OnPrem + cloud) environments. - Architect and implement resilient microservices with strong consistency, fault tolerance, high availability, and low latency at petabyte scale. - Contribute to the evolution of an API-first platform, designing clean, versioned, extensible APIs (REST/gRPC) for control, automation, and integration. - Own API lifecycle management including versioning, backward compatibility, deprecation strategies, and governance; ensure APIs are intuitive, consistent, and well-documented. - Enable APIs to support automation, policy-driven workflows, and ecosystem integrations. - Build backend systems supporting provisioning, scaling, upgrades, configuration, and full lifecycle management. - Implement policy-driven orchestration and Infrastructure-as-Code (IaC) integrations. - Support RBAC, multi-tenancy, and enterprise-grade self-service capabilities. - Instrument services with logs, metrics, traces, and events to enable deep observability, automated diagnostics, troubleshooting, and incident resolution. - Contribute to alerting, incident correlation, and root cause analysis capabilities to improve operational transparency and supportability. - Design and implement secure-by-design systems with strong authentication, authorization, RBAC, encryption (in transit and at rest), and audit logging. - Collaborate with security teams to ensure compliance with enterprise and regulatory standards. - Design systems for fault tolerance, graceful degradation, disaster recovery, and seamless upgrades/rollbacks with minimal or zero downtime. - Drive engineering excellence through code reviews, design reviews, and adherence to best practices. Qualifications - 5+ years of experience in backend or distributed systems engineering. - Strong experience designing and building microservices-based architectures. - Proficiency in at least one modern backend language (e.g., Go, C++, Java, Python, or similar). - Experience designing and implementing APIs (REST and/or gRPC). - Deep understanding of distributed systems concepts (consistency, availability, partition tolerance, etc.). - Experience with cloud-native architectures and containerized environments. - Strong knowledge of security principles including authentication, authorization, and encryption. - Strong understanding of object-oriented design, data structures, and algorithms. - Experience building and maintaining large-scale distributed systems using modern software engineering practices. - Experience with containerized environments and orchestration (e.g., Kubernetes). - Knowledge of CI/CD pipelines and automated testing frameworks. Success Metrics - Delivery of robust, scalable backend services supporting control plane operations. - High-quality, well-documented, and stable APIs with strong adoption. - Reduced operational friction through automation and improved supportability. - Strong system reliability, performance, and uptime at scale. - Secure, compliant services with minimal vulnerabilities and audit issues. - Successful deployment and operation across both OnPrem and cloud environments. - Positive collaboration and influence across engineering teams.

Role Description We are seeking a Senior Staff Quality Engineer to drive embedded quality engineering for our S3-compliant high-performance file system. The candidate must have proven experience in systems-level quality engineering with technical leadership qualities, effective communication skills, and a self-starter mindset. The candidate must collaborate with development teams and individuals worldwide to deeply understand DDN products, technology, setup, and configuration, and must be able to design and own the quality strategy covering correctness, performance, and reliability across the S3 stack. Key Responsibilities - Own, extend, and improve the test strategy and automation framework for our S3 implementation. - Define and articulate quality designs and test plans with appropriate technical depth, focusing on a shift-left approach. - Drive quality across the full development lifecycle — from design review participation through release validation. - Participate in technical and design reviews to identify testability gaps and quality risks early. - Architect and troubleshoot test coverage for system-level components, with emphasis on file system behavior, storage system correctness, and S3 protocol compliance. - Undertake research-based quality tasks: define a test approach for novel features, document findings, and derive coverage conclusions. Design validation strategies based on the research conducted. - Mentor junior QE engineers and embed quality practices within development teams. Lead by example across the QE spectrum. - Support product deployment validation and drive production defect triage and reproduction in a timely manner. Qualifications - Accountable and highly motivated with solid people skills. - 12+ years of experience in systems software quality engineering and complex problem investigation. - Demonstrated ability to develop not just happy path testing, but testing designed to exclude possibility of customer-visible failures. - Expert knowledge of C/C++; strong scripting ability in Python and shell for test automation. - Excellent Linux development and test environment skills, including file system-level testing. - Full understanding of OS principles and kernel architecture as they relate to test design and defect analysis. - Broad experience with open-source development toolchains including gcc, gdb, g++, and git. - Experience designing and validating parallel and concurrent programs. - Good communication skills (verbal and written English). - Deep understanding of Linux file systems and the ability to reason about correctness at the syscall and VFS layers. - Knowledge of user-space IO frameworks such as FUSE and SPDK, with ability to design tests that exercise them end-to-end. Nice to Have - Strong understanding of RDMA network principles, libfabric, zero-copy, and verbs — with ability to validate behavior in these environments. - Experience with performance engineering and the design of performance regression test suites. - Experience working with Scrum/Agile development processes. - Experience testing complex network protocol implementations including TCP/IP or RDMA. - Familiarity with S3 protocol conformance testing and object storage semantics.