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CoreWeave

Rents GPU cloud computing for AI developers

Senior Network Security Engineer - Networking

Security Engineering & ArchitectureUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • Five to ten years of hands-on experience in network security engineering, including exposure to large-scale cloud or hyperscaler environments and a proven record protecting complex distributed systems at scale.
  • Deep understanding of network security principles and technologies, including mitigating distributed denial-of-service attacks, securing high-speed data center fabrics, defending against web exploits, and implementing zero-trust methodologies.
  • Strong conceptual and practical knowledge of securing modern cloud and network architectures.
  • Proficiency in network protocols including TCP/IP, DNS, BGP, and HTTP/S; network segmentation; VPNs; and firewall configurations.
  • Experience securing cloud platforms such as AWS, GCP, Azure, or custom hyperscale infrastructure, and containerized environments.
  • Demonstrated ability to lead security initiatives and projects end-to-end, and experience mentoring engineers or leading security teams.
  • Ability to collaborate with Networking, Infrastructure, DevOps/SRE, and Software teams to design and implement security solutions.
  • Experience designing, implementing, and reviewing security policies and controls for highly scalable distributed systems.
  • Familiarity with industry standards and compliance frameworks such as NIST, ISO 27001, and SOC 2, and their application in cloud environments.

Responsibilities

  • Design and deploy security measures across the network perimeter and internal fabrics, including firewalls, intrusion prevention and detection systems, segmentation, and configuration health, to protect the infrastructure and cloud services.
  • Ensure entry points, high-speed interconnects, and cloud services are protected against unauthorized access and attacks.
  • Champion a Zero Trust security model across network and cloud environments by enforcing least-privilege access, continuous verification, and micro-segmentation.
  • Establish monitoring for network security events and potential breaches across AI cluster networks; identify vulnerabilities or indicators of compromise and coordinate incident response for network-related incidents.
  • Work with Networking, Infrastructure, and Software Engineering teams to integrate security best practices into architecture, deployments, and processes.
  • Provide expert guidance during design and code reviews to ensure new services and features are secure by design.
  • Secure high-density GPU clusters and low-latency backend fabrics, and implement controls to protect customer data in transport.
  • Drive security initiatives, mentor junior engineers and peer teams on network security, conduct security training, and promote adherence to security policies and standards.
  • Develop, implement, and refine security policies and standard operating procedures for a scalable distributed environment.
  • Review network and cloud security postures and ensure compliance with industry best practices, adapting policies as the company grows.

Desired Qualifications

  • Prior experience working at a top-tier cloud provider or in a hyperscale environment, such as a FAANG or similar organization, and understanding the security challenges of operating at massive scale.
  • Experience designing zero-trust networks, including identity and access management systems, single sign-on, multi-factor authentication, and network access control solutions.
  • Proficiency in scripting or programming with Python, Go, or similar for security task automation, security tool integration, and infrastructure-as-code; experience with DevSecOps and CI/CD pipeline security.
  • Relevant certifications such as CISSP, CCSP, GIAC certifications including GSEC or GCIH, or AWS or Azure Security Specialty certifications.
  • Active involvement in the security community or contributions to open-source security projects, and current knowledge of threats, vulnerabilities, and mitigation strategies in network and cloud security.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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