Lead Software Engineer – Python

Wells Fargo

. Lead complex technology initiatives, including companywide initiatives with broad impact .

Posted 11/2/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Python development, API-driven integrations, and automation frameworks, with a strong focus on enterprise environments and network infrastructure. Proven ability to lead technology initiatives and mentor teams while leveraging AI-assisted development tools for enhanced solution delivery.

Highest-signal resume keywords

Python DevelopmentAPI DevelopmentAutomation FrameworksNetwork Infrastructure AutomationAI-Assisted Development Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringREST API DevelopmentMicroservices ArchitectureAutomation ToolsWorkflow OrchestrationFastAPIDjangoPostgreSQLGitHubUnix/Linux

Soft Skills

LeadershipMentoringCollaborationProblem-SolvingCommunication

Tools & Technologies

GitHub CopilotNautobotRed Hat OpenShiftCloud FoundryKubernetesPostmanMongoDBAI Models IntegrationEvent-Driven ArchitectureCode-Focused AI Agents

Industry Keywords

Enterprise EnvironmentNetwork EngineeringChange ManagementSecurityRisk ManagementRelease ProcessesCloud-Native PlatformsLegacy InfrastructureStructured Change ManagementAPI Specifications

Tech Stack

Tools & technologies

CloudDjangoGraphQLKubernetesLinuxMicroservicesMongoDBNoSQLOpenShiftPostgresPythonReactUnix

About the role

Key responsibilities & impact

Lead complex technology initiatives, including companywide initiatives with broad impact
Design and develop API-driven integrations between network platforms and internal systems
Develop and maintain Python-based automation frameworks
Transform manual operational processes into automated, repeatable, and maintainable workflows
Design automation solutions aligned with performance, security, reliability, and maintainability standards
Partner with network engineering, platform, and technology teams on architecture and infrastructure strategies
Lead automation efforts supporting product deployments, service delivery, customer journeys, and API development
Use approved AI-assisted development tools, including GitHub Copilot and code-focused AI agents
Leverage AI to accelerate solution design, development, testing, analysis, and troubleshooting
Review, validate, and integrate AI-assisted outputs into production solutions
Lead projects and teams or serve as a peer mentor

Requirements

What you’ll need

5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
4+ years of Python development experience, including building automation tools, system integrations, APIs, or workflow orchestration solutions
Experience designing, developing, testing, and supporting software solutions within an enterprise environment
Experience developing and consuming REST APIs, including authentication, schema validation, error handling, and versioning
Experience using source control and modern software development practices, preferably GitHub
Experience with network engineering concepts and network infrastructure automation
Experience with Nautobot for network source-of-truth, automation, or infrastructure management
Experience developing API-driven integrations between network platforms and enterprise systems
Experience with FastAPI, Django, GraphQL, PostgreSQL, NoSQL databases, React, and OAuth
Experience with Model Context Protocol (MCP) and integrating applications with enterprise AI models or model APIs
Experience working with OpenAI API specifications or similar API-based AI integrations
Experience developing microservices, RESTful APIs, and event-driven architectures
Experience with container and cloud-native platforms such as Red Hat OpenShift, Cloud Foundry, and Kubernetes
Working knowledge of Unix/Linux, MongoDB, and Postman
Experience working with legacy infrastructure as well as modern cloud and container-based infrastructure
Experience working in large-scale enterprise environments with structured change management, security, risk, and release processes
Experience using GitHub Copilot or other approved AI-assisted development tools for software design, coding, testing, troubleshooting, and analysis
Ability to evaluate AI-generated code or recommendations for accuracy, maintainability, security, and operational risk
Position is not eligible for visa sponsorship

Benefits

Comp & perks

Equal opportunity employment
Medical accommodation available upon request
Drug-free workplace