Lead Python Network Automation Engineer

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. 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.

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 our 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

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

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
• 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