Lead Python Network Automation Engineer

This role is a hybrid position and in the office three days a week. There is no visa sponsorship or visa transfer available for this role.

About the role

Wells Fargo is seeking a Lead Python Software Engineer in the Secured Network Services organization with a goal to deliver automation solutions that enable a software-driven infrastructure environment. If you're passionate about automation, cloud-native technologies, and building scalable systems, this is your opportunity to make a real impact in a large-scale enterprise environment.

Responsibilities

• Create API-driven integrations between network platforms and internal systems.
• Develop and maintain automation frameworks that improve reliability and reduce operational toil.
• Translate manual operational procedures into codified, repeatable automation.
• Ensure automation artifacts follow best practices for performance, maintainability, and security.
• Collaborate with network engineering and platform teams to align automation with broader architectural strategies.
• Lead the automation of product deployments, customer journeys, and creation of APIs for products and services.
• Demonstrate proficiency in using AI-assisted development and analysis tools (e.g., GitHub Copilot and approved code-centric agents).
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting.
• 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.

Requirements

• 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 of Python development experience.

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 open-source libraries for developing AI workflows.
• Experience with OpenAI API spec and building interfaces into enterprise models.
• Experience with MCP, Django, GraphQL, PSQL, NoSQL, React, FastAPI, OAuth.
• Experience with multi-agent orchestration.
• 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, MongoDB, Postman.