Network Engineer (R4843)
Shield AI
Seattle, WA · $140k–$220k a year · Posted April 25, 2026
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Where Seattle, WA ranks
Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities with the most jobs that do not need a four-year degree in the Pacific Northwest316 jobs · of 8
- #1Best cities for software and engineering jobs in the Pacific Northwest1,776 openings · of 14
- #2Best cities for energy and utilities pay after cost of living$180k · of 18
- #2Best cities for entry-level jobs that want AI skills in the Pacific Northwest17% · of 12
- #2Best cities for AI-skill jobs in the Pacific Northwest26% · of 17
- #2Best cities for software and engineering jobs in the West Coast1,776 openings · of 60
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $180,000 a year. Across 77 open network engineer listings that state pay, the middle half runs $99,500 to $147,500 and the median is $120,000. That is 50% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among network and computer systems administrators, AI is already used for a large share of the tasks. Measured exposure for network and computer systems administrators: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and 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.
Position Overview: We are seeking a highly experienced Network Engineer to lead the design, implementation, and optimization of complex network infrastructures. This role requires deep expertise across network engineering, cybersecurity protocols, base media development 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 expert and key decision-maker across network, base media and infrastructure domains.
Key Responsibilities
Define, decompose, allocate and implement cyber security requirements into system architecture.
Define and enforce network security architecture, ensuring compliance with cybersecurity standards and best practices.
Develop documentation for installations and configurations required to obtain Authorizations to Operate (ATOs).
Design and optimize secure network topologies, including segmentation, firewalls, VPNs, and zero-trust models.
Design & oversee server room infrastructure, including rack design, cabling, power, cooling, and hardware layout for high availability.
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.
Evaluate and select network and hardware technologies, vendors, and solutions.
Develop network standards, documentation, and architectural roadmaps.
Ensure system scalability, reliability, and performance through proactive design and monitoring strategies.
Support troubleshooting and resolution of complex network and infrastructure issues.
Lead the architecture, design, and deployment of enterprise-grade network infrastructure (LAN, WAN, cloud, and hybrid environments).
Required qualifications:
This position requires the ability to obtain and maintain a DoD government clearance at the Secret level
Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Computer Engineering, or related IT field
8+ years of experience in platform engineering, cyber, network engineering and architecture roles
Strong expertise in Cyber best practice security concepts, models, and methods (e.g., zero trust architecture and maturity model, advanced
Hands-on experience with networking hardware (routers, switches, firewalls, load balancers)
Proven experience designing and managing server rooms, including physical infrastructure
Working knowledge of containers and securing the infrastructure through the cloud
Strong understanding of DoD cybersecurity infrastructures and experience researching new Cybersecurity capabilities and performing trade studies
Experience working in Network Engineering/ Base Media Development for UAV C2 Systems or similar applications
Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
Industry certifications such as CCIE, CCNP, CISSP, or equivalent
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)
Experience modeling complex network systems in a modeling tool such as NX or SolidWorks.
Knowledge of compliance requirements (e.g. DoD, or other regulated environments)
#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.
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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.