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Wells Fargo Logo Wells Fargo · IT - Software Development

Lead Software Engineer

United States, Irving · Job Posted June 30, 2026
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Job Description

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.

Job Responsibility

  • 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

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 python development experience

Nice to have

  • Proficiency in Python for building automation tooling, integrations, and workflow orchestration
  • 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
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