Lead Python Network Automation Engineer

Job summary

The Lead Python Software Engineer builds automation solutions for network infrastructure, connecting network platforms with internal systems and reducing operational toil in a large-scale enterprise environment. The role develops reusable automation frameworks and APIs, codifies operational procedures, and leads automated deployments while applying AI-assisted development responsibly. Relevant technologies include Python, Ansible, REST APIs, Nautobot, Kubernetes, and OpenShift.

Qualifications

• At least 5 years of software engineering experience or equivalent experience, training, military experience, or education.
• At least 3 years of Python development experience.
• Proficiency building Python automation tools, integrations, and workflows.
• Experience with Nautobot is highly desired.
• Experience with open-source AI workflow libraries, including LangChain, LangGraph, Google ADK/A2A, or AG-UI.
• Experience with the OpenAI API specification and interfaces to enterprise models.
• Experience with MCP, Django, GraphQL, PostgreSQL, NoSQL, React, FastAPI, and OAuth.
• Experience with multi-agent orchestration.
• Ability to build and consume REST APIs, including authentication, schema validation, error handling, and versioning.
• Hands-on experience with GitHub or other source control.
• Experience in large-scale enterprise environments with change control and structured processes.
• Expertise in microservices, RESTful APIs, and event-driven architectures.
• Hands-on Ansible experience developing reusable playbooks, roles, and modules for network automation.
• Experience with legacy and cloud infrastructure, including OpenShift, Cloud Foundry, or Kubernetes.
• Working knowledge of Unix, Linux, MongoDB, and Postman.

Responsibilities

• Build API-driven integrations between network platforms and internal systems.
• Develop and maintain automation frameworks that improve reliability and reduce operational work.
• Convert manual operational procedures into repeatable automation.
• Ensure automation artifacts meet performance, maintainability, and security standards.
• Coordinate with network engineering and platform teams on architectural strategy.
• Automate product deployments and customer journeys, and create APIs for products and services.
• Use AI-assisted tools to accelerate system design, coding, testing, analysis, and troubleshooting.
• Validate AI-assisted outputs using sound technical judgment.
• Account for AI model limitations, security risks, and operational considerations.
• Apply AI responsibly in development and production in accordance with security, compliance, privacy, and ethical standards.

Skills

Work schedule

Industry

Relocation