Lead Software Automation Engineer (Python)

Wells Fargo•Columbus, OH

4d•$119,000 - $187,000•Onsite

About The Position

Wells Fargo is seeking a Lead Software Engineer in Technology as part of Cybersecurity. The Lead Python Software Engineer will drive the design and delivery of enterprise-scale infrastructure automation solutions, transforming manual operational processes into secure, API-driven, and highly scalable services across network and cryptographic infrastructure platforms. This role combines deep Python engineering expertise with cloud-native architecture, Infrastructure-as-Code, and workflow orchestration to accelerate self-service capabilities, improve operational reliability, and advance Wells Fargo's software-defined infrastructure strategy. Wells Fargo is seeking a Lead Python Software Engineer in infrastructure automation 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. In this role, you will: Lead complex technology initiatives including those that are companywide with broad impact. Design and build automation to streamline provisioning, configuration, and lifecycle management of infrastructure resources across a range of cryptographic and network infrastructure. 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 Load Balancing and other infrastructure 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
5+ years python development experience leveraging Django, Flask or FastAPI
2+ years working with private cloud or hybrid platforms and a proven track record of building complex infrastructure programmatically with IaC tools
2+ years of hands-on experience with Infrastructure as Code tools Ansible and GitHub

Nice To Haves

Demonstrated experience automating infrastructure platforms and services, including the development of self-service capabilities and operational workflows
5+ years experience with Agile, CI/CD, DevOps concepts and SRE principles
Extensive expertise in microservices, RESTful APIs, and event-driven architectures
Experience developing modern user interfaces using micro-frontend frameworks, including React or Angular
Strong hands-on experience supporting and enhancing web and API platforms built with Django, FastAPI, and Apigee
Experience with one or more workflow and orchestration platforms such as Temporal, Camunda, or Cadence
Working knowledge of Unix/Linux operating systems, database querying, and API testing tools such as Postman
Familiarity with infrastructure services including data protection, cryptographic key management, PKI, certificate management, or load balancing technologies
Strong troubleshooting, operational support, and problem-resolution skills across distributed application environments

Responsibilities

Lead complex technology initiatives including those that are companywide with broad impact
Design and build automation to streamline provisioning, configuration, and lifecycle management of infrastructure resources across a range of cryptographic and network infrastructure
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 Load Balancing and other infrastructure 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