Network Automation Engineer

Realm
Austin, US
On-site

Job Description

An experienced engineer is sought to lead automation initiatives across large-scale data center network environments supporting high-density compute and AI-driven workloads.

This position combines software engineering and advanced networking expertise, with responsibility for eliminating manual processes and establishing model-driven, repeatable infrastructure deployment systems.

Core Responsibilities

  • Design structured network data representations within DCIM/IPAM platforms to serve as the authoritative source for automation systems
  • Develop tooling that produces deployment artifacts (rack layouts, cabling documentation, port allocation matrices) directly from modeled network intent
  • Build configuration rendering pipelines that transform structured data into production-ready device configurations
  • Implement automated provisioning workflows, including zero-touch device onboarding and bootstrap processes
  • Create validation and health-check frameworks to verify infrastructure readiness prior to workload activation
  • Develop mechanisms to detect configuration drift and deployment inconsistencies
  • Partner with software, deployment, and infrastructure teams to ensure consistency between physical installations and logical network design
  • Contribute to architectural decisions that improve scalability, determinism, and operational reliability across the automation stack

The objective is to make network deployments deterministic, reproducible, and scalable across multiple data center builds.

Required Experience

  • Strong programming capability in Python or Go, with production-grade automation experience
  • At least five years of professional experience in network engineering, with significant emphasis on automation and tooling
  • Practical experience working with DCIM and/or IPAM systems, including API integrations and structured data modeling
  • Hands‑on experience with configuration templating and network automation frameworks
  • Familiarity with infrastructure‑as‑code concepts and reproducible provisioning methodologies
  • Experience operating and configuring modern data center switching platforms and network operating systems
  • Ability to document architectural decisions and communicate complex technical concepts clearly

Preferred Qualifications

  • Experience generating deployment documentation programmatically from network models
  • Familiarity with zero‑touch provisioning systems and device bootstrap automation
  • Strong understanding of routing protocols, overlay networking, and core data center networking concepts
  • Experience developing automated validation or testing frameworks for network infrastructure
  • Exposure to GPU cluster networking, AI infrastructure, or high‑performance computing environments
  • Knowledge of monitoring and observability systems integrated with automation workflows
  • Understanding of container networking models and orchestration platforms
  • Experience using virtual lab or simulation environments for pre‑production network testing

Skills & Requirements

Technical Skills

PythonGoDcimIpamApi integrationsStructured data modelingConfiguration templatingNetwork automation frameworksInfrastructure-as-codeReproducible provisioning methodologiesData center switching platformsNetwork operating systemsConfiguration rendering pipelinesDeployment artifactsRack layoutsCabling documentationPort allocation matricesValidation and health-check frameworksConfiguration drift detectionZero-touch provisioningRouting protocolsOverlay networkingCore data center networkingAutomated validationTesting frameworksGpu cluster networkingAi infrastructureHigh-performance computingMonitoring and observabilityContainer networkingOrchestration platformsVirtual labSimulation environmentsNetwork engineeringAutomationData center

Employment Type

FULL TIME

Level

senior

Posted

5/1/2026

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