Lead Python Network Automation Engineer
HybridCharlotte, North Carolina, United States or Irving, Texas, United States
Job Summary
Create API-driven integrations between network platforms and internal systems while developing automation frameworks that improve reliability and reduce operational toil. Translate manual operational procedures into codified, repeatable automation, ensuring artifacts follow best practices for performance, maintainability, and security. Collaborate with network engineering and platform teams to align automation with broader architectural strategies, leading the automation of product deployments and customer journeys. Demonstrate proficiency in using AI-assisted development tools to accelerate system design, coding, and troubleshooting, applying strong technical judgment when validating outputs against security, compliance, and ethical standards. This role resides within the Secured Network Services organization, focusing on delivering software-driven infrastructure solutions in a hybrid environment.
Required Qualifications
- 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years python development experience
- This role is a hybrid position and in the office three days a week
- There is no visa sponsorship or visa transfers for this role
- Demonstrate proficiency in using AI‐assisted development and analysis tools (e.g., GitHub Copilot and approved code‐centric agents)
- Apply strong technical judgment when validating and integrating AI‐assisted outputs into solutions
- Understand and account for model limitations, security risks, and operational considerations
- Apply AI responsibly in development and production environments
- Ensure AI usage aligns with security, compliance, privacy, and ethical standards
- Demonstrated ability to consume and build REST APIs, including authentication, schema validation, error handling, and versioning
- Hands-on experience with source control like GitHub
- Experience working in large‐scale, enterprise environments with change control and structured processes
- Extensive expertise in Microservices, RESTful API and event driven architectures
- Hands-on experience with Ansible, including developing reusable playbooks, roles, and modules for network automation
- Proficiency in dealing with Legacy infrastructure along with cloud infrastructure (OpenShift, Cloud Foundry, Kubernetes)
- Working knowledge of Unix, Linux, Mongo DB, Postman
Desired Qualifications
- Proficiency in Python for building automation tooling, integrations, and workflow orchestration
- Experience with Nautobot is highly desired
- Experience with langchain/langraph, google ADK/A2A, AG-UI, and other common opensource libraries for developing AI workflows
- Experience with openai api spec and building interfaces into enterprise models
- Experience with MCP, Djando, graphQL, PSQL, no SQL, REACT, fast API, oAuth
- Experience with Multi agent orchestration
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