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Shield AI

Builds autonomous aircraft for defense

Cybersecurity Platform Engineer

Security Engineering & ArchitectureUpdated on Nov 13
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • This position requires the ability to obtain and maintain a Department of Defense government clearance at the Secret level.
  • A Bachelor's or Master's degree in Cybersecurity, Computer Science, Computer Engineering, or a related information technology field is required.
  • At least 5 years of experience in platform engineering, cybersecurity, or network engineering roles is required.
  • Knowledge of network protocols, including TCP/IP, DNS, and DHCP, is required.
  • Expertise in cybersecurity frameworks and protocols, including Zero Trust, NIST SP 800-53 and 800-63B, ISO 27001, firewalls, IDS/IPS, and encryption standards, is required.
  • Hands-on experience with enterprise networking hardware, including routers, switches, firewalls, and load balancers, is required.
  • Experience with cloud networking (AWS, Azure, or GCP) and hybrid environments is required.
  • Experience implementing Voice over IP solutions is required.

Responsibilities

  • Decompose, allocate, and implement cybersecurity requirements into system architecture.
  • Enforce network security architecture and ensure compliance with cybersecurity standards and best practices.
  • Develop documentation for installations and configurations required to obtain Authorizations to Operate (ATOs).
  • Optimize secure network topologies, including segmentation, firewalls, VPNs, and zero-trust models.
  • Collaborate with cybersecurity engineering to implement Security Technical Implementation Guides (STIGs) and develop Base Media solutions that enable execution of Plans of Actions and Milestones (POAMs) to mitigate cyber risks.
  • Collaborate with cybersecurity teams to implement threat detection, mitigation, and incident response strategies.
  • Provide technical insight on the X-BAT Ground Control Station (GCS) cybersecurity stack to cross-functional teams.
  • Ensure system scalability, reliability, and performance through proactive design and monitoring strategies.
  • Support troubleshooting and resolution of complex network and infrastructure issues.
  • Work with Network Engineering teams to implement Voice over IP capabilities.

Desired Qualifications

  • Industry certifications such as CCIE, CCNP, CISSP, or equivalent are preferred.
  • A strong DevSecOps background, including hands-on Kubernetes experience with admission control, OPA/Gatekeeper, and workload identity, and Terraform experience with reusable secure modules and policy-as-code, is preferred.
  • Experience designing architectures for classified networks is preferred.
  • Experience with software-defined networking (SDN) and network automation is preferred.
  • Familiarity with DevOps and Infrastructure as Code (IaC) tools such as Terraform and Ansible is preferred.
  • Knowledge of compliance requirements such as FedRAMP, Department of Defense, or other regulated environments is preferred.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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