
location_on4912, Worth Street, Dallas, Dallas County, Texas, 75214, United States
Founded in 2015, Shield AI is a venture-backed deep-tech company with a mission to protect service members and civilians through intelligent systems. Our technology, including the V-BAT and X-BAT aircraft and the Hivemind product lines, actively supports operations worldwide from offices across the U.S., Europe, the Middle East, and the Asia-Pacific.
As a Senior Network Integration Engineer, you will serve as a technical expert and key decision-maker in the design, implementation, and optimization of complex network infrastructures. This role exists to ensure our critical systems remain scalable, secure, and resilient. You will operate in a hands-on manner, bridging the gap between network engineering, cybersecurity protocols, and physical hardware infrastructure. Your work will directly influence the architecture of our X-BAT GCS Network and support high-availability environments for our global operations.
All offers are contingent on a cleared background and possible reference check. We utilize artificial intelligence tools to assist in reviewing applications and analyzing resumes, but these tools do not replace human judgment. Final hiring decisions are made by our recruitment team.
Shield AI is proud to be an equal opportunity workplace and 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.
Work model: On-site
4912, Worth Street, Dallas, Dallas County, Texas, 75214, United States
Dallas, Texas
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.
Skills: Network Engineering, Cybersecurity Protocols, Server Room Infrastructure, Lan, Wan, Cloud, Hybrid Environments, Network Security Architecture, Network Topologies, Segmentation.
Education: Bachelor's degree in Computer Science, Network Engineering, or Electrical Engineering; Master's degree in Computer Science, Network Engineering, or Electrical Engineering.
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