Senior Staff Network Architect (R4843) X-BAT Division X-BAT Engineering - Software Dallas, Texas Dallas, Texas Full Time Employee 170000 - 250000 Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a highly experienced Senior Staff Network Architect to lead the design, implementation, and optimization of complex network infrastructures. This role requires deep expertise across network engineering, cybersecurity protocols, and server room / hardware infrastructure, with a strong ability to architect scalable, secure, and resilient systems. The ideal candidate will operate at a strategic level while remaining hands-on, serving as a technical leader and key decision-maker across network and infrastructure domains. Job Description: We are seeking a highly experienced Senior Staff Network Architect to lead the design, implementation, and optimization of complex network infrastructures. This role requires deep expertise across network engineering, cybersecurity protocols, and server room / hardware infrastructure, with a strong ability to architect scalable, secure, and resilient systems. The ideal candidate will operate at a strategic level while remaining hands-on, serving as a technical leader and key decision-maker across network and infrastructure domains. #LI-AA1 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. Required qualifications:

Bachelor’s or Master’s degree in Computer Science, Network Engineering, Electrical Engineering, or related field

10+ years of experience in network engineering and architecture roles

Deep knowledge of network protocols (TCP/IP, DNS, DHCP, etc.)

Strong expertise in cybersecurity frameworks and protocols (Zero Trust, NIST, ISO 27001, firewalls, IDS/IPS, encryption standards)

Hands-on experience with enterprise networking hardware (routers, switches, firewalls, load balancers)

Proven experience designing and managing data centers / server rooms, including physical infrastructure

Experience with cloud networking (AWS, Azure, or GCP) and hybrid environments

Strong understanding of high availability, redundancy, and disaster recovery architectures

Preferred qualifications:

Industry certifications such as CCIE, CCNP, CISSP, or equivalent

Experience modeling complex network systems in a modeling tool such as NX or SolidWorks.

Experience designing architectures for classified networks.

Experience with software-defined networking (SDN) and network automation

Familiarity with DevOps and Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible)

Knowledge of compliance requirements (e.g., FedRAMP, DoD, or other regulated environments)

Experience supporting AI/ML, high-performance computing, or large-scale distributed systems

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