Senior Network Automation Engineer

Senior Network Automation Engineer
Location: Dallas TX Hybrid
Type: Direct Hire
Relocation: Available for non-local candidates

Compensation
Competitive base salary performance bonus
100% company-paid benefits

Overview
GTN is seeking a Senior Network Automation Engineer to design build and maintain the software tooling and automation frameworks that enable scalable reliable and self-service networking across a large global infrastructure environment.

This is a hands-on engineering role for someone who is equally comfortable writing clean Python designing automation workflows and reasoning through complex networking concepts such as BGP routing segmentation and data center connectivity.

The Senior Network Automation Engineer will work closely with network engineering platform engineering security and infrastructure teams to automate provisioning lifecycle management observability and operational workflows across complex data center and cloud-adjacent environments.

The ideal candidate brings a strong mix of software engineering and network engineering experience with a track record of building tools and services that make modern networks more programmable reliable secure and efficient.

Key Responsibilities

Network Automation & Tooling
Design build and maintain automation frameworks for network provisioning configuration and lifecycle management
Develop software in Python to support scalable reliable and repeatable network operations
Use tools such as Ansible Terraform and Jinja2 to implement infrastructure-as-code and software-driven network designs
Build APIs internal tools and self-service interfaces that expose networking capabilities to engineering teams
Integrate network automation into CI/CD pipelines to support testable repeatable and controlled deployments

Architecture & Platform Engineering
Lead technical design discussions and ensure automation solutions are scalable maintainable and production-ready
Drive architectural decisions around network automation service integration and infrastructure reliability
Support large-scale compute data center and platform environments through programmatic network management
Collaborate with platform security and infrastructure teams to improve network reliability security and operational efficiency
Evaluate and implement modern automation patterns service discovery secrets management and policy-as-code practices

Network Reliability & Operations
Implement telemetry observability and monitoring workflows for network performance availability and health
Troubleshoot complex issues across networking automation infrastructure and application layers
Participate in on-call rotations incident response root cause analysis and reliability improvement efforts
Apply deep networking knowledge to improve routing segmentation load balancing firewall policy and connectivity workflows
Continuously improve operational tooling deployment practices and engineering standards

Required Experience
Proven experience across both software engineering and network engineering
Strong Python development skills with a focus on clean maintainable production-quality code
Experience building network automation infrastructure tooling APIs or platform services
Strong software engineering fundamentals including testing version control CI/CD code review and design best practices
Hands-on experience with infrastructure-as-code and configuration management tools such as Ansible Terraform and Jinja2
Strong understanding of networking fundamentals including TCP/IP DNS HTTP routing switching load balancing and network security concepts
Experience with routing and network technologies such as BGP OSPF VRF VLANs ACLs and firewall policy management
Familiarity with cloud-native technologies including Docker Kubernetes containers and orchestration concepts
Experience integrating systems through APIs services and automation pipelines
Strong troubleshooting skills and ability to work across software network and infrastructure domains
Ability to take ownership of ambiguous technical problems and drive solutions from design through production

Preferred Experience
Experience in large-scale data center cloud HPC AI infrastructure or high-availability network environments
Hands-on experience with Cisco Arista Juniper or similar network platforms
Knowledge of segment routing EVPN/VXLAN multi-tenant network designs and large-scale infrastructure architecture
Familiarity with distributed systems concepts such as microservices fault tolerance data consistency security and observability
Experience with relational NoSQL or graph databases
Exposure to event-driven or message-based architectures such as Kafka or RabbitMQ
Familiarity with service discovery secrets management and policy-as-code frameworks
Experience applying AI/ML techniques to infrastructure problems such as anomaly detection predictive analytics or automated remediation
Prior contributions to open-source networking infrastructure or automation projects

Ideal Candidate Profile
The ideal candidate is a hands-on engineer who combines strong software development ability with deep networking expertise. This person can build reliable automation understand complex network behavior collaborate across technical teams and take ownership of systems that operate at scale. They bring a practical engineering mindset strong troubleshooting instincts and a passion for making infrastructure more automated observable and resilient.