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DataDirect Networks

High-performance storage for unstructured data

Lead Engineer - Security Architecture

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USA$225k - $275k /yrHybrid

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, Cybersecurity, or a related technical field.
  • At least 12 years of experience in security architecture, distributed systems security, infrastructure security, or large-scale platform engineering.
  • A 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 public key infrastructure architectures.
  • Strong experience integrating external key management service platforms using KMIP or equivalent protocols.
  • Advanced knowledge of identity and access management frameworks, including role-based access control, attribute-based access control, single sign-on, multi-factor authentication, federation, delegated authorization, and policy-driven access control systems.
  • Experience integrating enterprise identity providers such as LDAP, Active Directory, OpenID Connect, and SAML-based systems.
  • Expertise in secure API design, TLS 1.3, mutual TLS, request signing mechanisms such as 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.

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 practices across platform engineering initiatives.
  • Architect enterprise-grade identity and access management frameworks integrating LDAP, Active Directory, OIDC, Keycloak, single sign-on, multi-factor authentication, federation, and delegated authorization models.
  • Design and govern fine-grained authorization systems leveraging role-based access control, attribute-based access control, 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 bring-your-own-key, tenant-scoped keys, dataset-level encryption policies, KMIP integration, and external key management service 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.

Desired 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 bring-your-own-key architectures, tenant-scoped key management, and cryptographic isolation models.
  • Experience implementing attribute-based access control 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.

About the Company

DataDirect Networks

High-performance storage for unstructured data

DDN provides high-performance data storage systems and software for data-intensive environments, including unstructured data, HPC, and AI workloads. Its products combine hardware and software to manage the data lifecycle, with A³I for GPU-optimized AI, EXAScaler as a parallel file system, IntelliFlash hybrid arrays, and Infinia for fast inference. The company differentiates itself through a dedicated focus on HPC/AI storage, close collaboration with NVIDIA, and a strategy of expanding software-defined storage and file systems via acquisitions. Its goal is to help customers scale data storage and AI workloads efficiently across enterprises, government, academia, and cloud providers.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$309.9M
Headquarters
Los Angeles, CA
Founded
1998

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