Lead Python Network Automation Engineer

Wells Fargo

. Create API-driven integrations between network platforms and internal systems .

Posted 9/23/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python development for automation tooling and API integration, with a strong focus on leveraging AI for system design and operational efficiency. Proficient in collaborating with cross-functional teams to implement best practices in security, compliance, and performance.

Highest-signal resume keywords

Python DevelopmentAPI IntegrationAutomation FrameworksAI-Assisted DevelopmentMicroservices Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonREST APIsAnsibleDjangoGraphQLPostgreSQLNoSQLFastAPIOpenAI APIMulti-Agent Orchestration

Tools & Technologies

GitHubNautobotOpenShiftCloud FoundryKubernetesUnixLinuxMongoDBPostmanAI Workflows

Industry Keywords

AutomationNetwork IntegrationOperational EfficiencyComplianceSecurity Standards

Tech Stack

Tools & technologies

AnsibleCloudDjangoGraphQLKubernetesLinuxMicroservicesMongoDBNoSQLOpenShiftPostgresPythonReactUnix

About the role

Key responsibilities & impact

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 on broader architectural strategies
Lead automation of product deployments and customer journeys
Create APIs for products and services
Use AI-assisted development and analysis tools such as GitHub Copilot and approved code-centric agents
Leverage AI for system design, coding, testing, analysis, and troubleshooting
Validate and integrate AI-assisted outputs using sound technical judgment
Account for model limitations, security risks, and operational considerations
Apply AI responsibly in development and production while aligning with security, compliance, privacy, and ethical standards
Follow Wells Fargo policies, procedures, risk programs, and compliance obligations

Requirements

What you’ll need

5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
3+ years of Python development experience
Proficiency in Python for building automation tooling, integrations, and workflow orchestration
Experience with Nautobot highly desired
Experience with LangChain/LangGraph, Google ADK/A2A, AG-UI, and other open-source libraries for developing AI workflows
Experience with OpenAI API specification and building interfaces into enterprise models
Experience with MCP, Django, GraphQL, PostgreSQL, NoSQL, React, FastAPI, and OAuth
Experience with multi-agent orchestration
Ability to consume and build REST APIs, including authentication, schema validation, error handling, and versioning
Hands-on experience with source control such as GitHub
Experience working in large-scale enterprise environments with change control and structured processes
Expertise in microservices, RESTful APIs, and event-driven architectures
Hands-on experience with Ansible, including reusable playbooks, roles, and modules for network automation
Proficiency with legacy and cloud infrastructure, including OpenShift, Cloud Foundry, and Kubernetes
Working knowledge of Unix, Linux, MongoDB, and Postman
No visa sponsorship or visa transfers

Benefits

Comp & perks

Hybrid work arrangement with in-office collaboration three days a week
Equal opportunity employer
Medical accommodation available during the recruitment or interview process