Network Development Engineer, IT Cloud & Infrastructure (Remote)

CrowdStrike is a global cybersecurity company that provides an AI-native platform designed to protect modern organizations from breaches. The Network Development Engineer will build and operate cloud and network infrastructure, develop infrastructure-as-code modules, implement multi-region networking architectures, and support cloud migration and data center exit programs. The role also contributes to architecture reviews, enablement resources, documentation, and operational improvements.

Responsibilities:

• Participate in architecture and design reviews across infrastructure, platform engineering, and integration initiatives — contributing technical analysis, identifying risks, and supporting implementation of approved patterns
• Develop, maintain, and improve infrastructure-as-code modules and templates (Terraform, networking standards, multi-account structures) in alignment with established blueprints, reducing pattern sprawl and improving engineering consistency
• Implement and operate on-prem and multi-region cloud networking architectures including Transit Gateway, centralized inspection VPC models, multi-account VPC patterns, and hybrid connectivity
• Support cloud migration and data center exit programs — contributing to cutover planning, owning discrete infrastructure delivery workstreams, and coordinating across engineering and compliance stakeholders
• Contribute to enablement resources and documentation that help engineering teams adopt cloud-native and infrastructure-as-code-driven operating models (Terraform, Kubernetes, CI/CD, SDLC best practices)
• Communicate technical decisions and trade-offs clearly to engineering peers and team leads, and escalate effectively when issues require broader architectural input

Requirements:

• This is a remote position open to candidates located anywhere in the United States
• Experience leveraging AI technologies to improve workflows, accelerate troubleshooting, and drive operational efficiency
• 5+ years of experience in cloud platform engineering, infrastructure engineering, or network engineering, with demonstrated growth in scope and technical depth
• Hands-on experience with AWS (Transit Gateway, VPCs, multi-account patterns, IAM, Network Firewall), Terraform, Kubernetes, and CI/CD platforms such as GitLab CI/CD
• Familiarity with architecture review or governance processes, and comfort working within established infrastructure standards and contributing improvements to them
• Solid background in cloud networking — including multi-region connectivity, network segmentation, inspection architectures, and hybrid/on-premises integration
• Experience contributing to cloud migration or data center consolidation efforts, including infrastructure-as-code delivery and compliance-aware design
• Clear written and verbal communication skills with the ability to work effectively with both technical peers and cross-functional partners
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
• Experience with network monitoring and observability
• Exposure to PCI, SOC 2, or similar compliance frameworks
• Hands-on familiarity with GitOps tooling such as ArgoCD, Helm, or Octopus Deploy for Kubernetes-based workload delivery
• Active or lapsed Cisco certifications (CCNA, CCNP) or AWS certifications demonstrating foundational infrastructure depth
• Familiarity with AI/LLM platform infrastructure patterns, including traffic routing, access governance, or API management
• Background in MSP or multi-tenant IT environments with exposure to a broad range of industries and infrastructure patterns
• Experience developing and migrating to Datadog as an observability platform