[Hiring] Infrastructure Automation Engineer @Bright Vision Technologies

Role Description

We are seeking an Infrastructure Automation Engineer who blends strong Python development skills with deep networking domain expertise to automate network configuration, change management, and observability across multi-vendor enterprise networks. The role focuses on building production-grade automation using modern network APIs, infrastructure-as-code, and CI/CD practices that bring software engineering discipline to network operations. The ideal candidate writes idiomatic Python, has shipped network automation in production, and combines networking depth with practical software-engineering rigor. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Key Responsibilities

• Design and develop network automation solutions in Python using Netmiko, Nornir, NAPALM, and Scrapli.
• Build automation pipelines for configuration management, deployment, and validation across multi-vendor environments.
• Develop integrations with network APIs including NETCONF, RESTCONF, gNMI, and vendor-specific APIs.
• Implement source-of-truth platforms such as NetBox or Nautobot and drive automation from authoritative data.
• Build infrastructure-as-code for network configuration using Ansible, Terraform, and Jinja2 templating.
• Implement network testing and validation using pyATS, Genie, Batfish, and Suzieq.
• Develop CI/CD pipelines for network changes including pre-deployment validation and rollback.
• Build observability and telemetry pipelines using gNMI, streaming telemetry, and modern analytics platforms.
• Implement intent-based networking patterns and self-healing network workflows that let the network express desired state declaratively and converge toward it automatically when drift or failures occur.
• Automate compliance and audit workflows across the network estate, generating evidence on demand and continuously verifying that network configuration matches the policies the organization has committed to.
• Partner with network engineering teams to identify and automate high-impact manual workflows.
• Develop reusable libraries, frameworks, and abstractions adopted across multiple automation efforts.
• Mentor network engineers on Python development, software engineering practices, and modern automation patterns.
• Stay current with network automation tooling, vendor API evolution, and broader industry developments.

Qualifications

• Bachelor’s degree in Computer Science, Networking, or a related field.
• Five or more years of network automation experience.
• Strong Python development skills including OOP, testing, and packaging.
• Deep networking fundamentals including routing, switching, and BGP.
• Hands-on experience with Netmiko, NAPALM, Nornir, or Scrapli.
• Experience with modern network APIs (NETCONF, RESTCONF, gNMI).
• Strong experience with Ansible and Jinja2 templating for network automation.
• Familiarity with NetBox, Nautobot, or other source-of-truth platforms.
• Strong Git-based workflows and CI/CD experience.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Cisco DevNet or vendor automation certifications.
• Experience with multi-vendor networks (Cisco, Arista, Juniper).
• Familiarity with streaming telemetry and modern observability stacks.
• Open-source contributions to network automation projects.
• Experience with cloud networking automation in addition to on-premises.

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544.

Learn more about Bright Vision Technologies at www.bvteck.com .