Developer

Wells Fargo•Charlotte, NC

About The Position

Wells Fargo is seeking an experienced Senior / Lead Infrastructure Engineer & Developer to design, develop, automate, and support secure, scalable enterprise technology solutions. The role spans infrastructure and application engineering, taking solutions from design and development through deployment, operational readiness, and production support. The engineer will work with Infrastructure as Code, cloud engineering, CI/CD, APIs and services, software development, automation, identity and access management, and production support. The position involves collaboration with application engineering, architecture, infrastructure, cybersecurity, operations, risk, and compliance teams, as well as providing technical leadership and mentoring. The role supports technology related to electronic communications capture, archiving, retention, supervision, and surveillance. Experience in regulated industries and related compliance requirements is desirable. Experience with GCP, Vertex AI, Generative AI, AI agents, and other emerging AI technologies is preferred.

Requirements

8+ years of experience in infrastructure, cloud, platform, DevOps, or software engineering.
Strong hands-on experience with Terraform and Infrastructure as Code.
Strong experience with GitHub, CI/CD pipelines, source control, automated deployments, and DevOps practices.
Hands-on experience with Microsoft Azure technologies, including Azure Functions, Azure Storage, Entra ID / Azure Active Directory, and Identity and Access Management.
Strong scripting and software development skills in one or more of PowerShell, Python, TypeScript, Go, Java, or other modern programming languages.
Strong understanding of API design and development, services, REST APIs, microservices, serverless architectures, and enterprise system integration.
Understanding of API and application security concepts, including authentication, authorization, OAuth, service identities, and access controls.
Experience designing and delivering secure, resilient, production-grade enterprise solutions.
Experience with monitoring, troubleshooting, operational readiness, and production support.
Experience working in a regulated industry, preferably financial services, with an understanding of security, risk, governance, and compliance requirements.
Strong analytical and problem-solving skills and ability to work across application, infrastructure, cloud, security, and operations teams.

Nice To Haves

Experience with Google Cloud Platform (GCP) and cloud-native development.
Experience with Vertex AI, Generative AI, AI agents/agentic solutions, or other AI development platforms and tools.
Knowledge of regulatory and compliance requirements associated with electronic communications archiving, retention, supervision, and surveillance.
Experience with electronic communications archiving or surveillance products such as Smarsh, Proofpoint, Veritas, or comparable platforms.
Experience integrating enterprise applications with SaaS platforms, APIs, identity providers, and cloud services.
Experience with containers, Kubernetes, OpenShift/OCP, or similar container orchestration platforms.
Experience operating within enterprise cybersecurity, risk, change management, and production governance frameworks.

Responsibilities

Design, develop, implement, and support secure, scalable, resilient enterprise infrastructure and cloud solutions.
Develop and maintain Terraform Infrastructure as Code, including reusable modules and automated environment provisioning.
Build, enhance, and maintain CI/CD pipelines using GitHub and related DevOps technologies.
Design and implement solutions using Azure Functions, Azure Storage, Entra ID / Azure AD, and other Azure services.
Design, develop, and integrate APIs, services, microservices, and system integrations connecting enterprise applications, cloud platforms, and third-party or SaaS solutions.
Develop automation and platform capabilities using PowerShell, Python, TypeScript, Go, Java, or other modern programming languages.
Implement secure API and service integration patterns, including authentication, authorization, identity, access controls, logging, monitoring, and error handling.
Partner with application engineering, architecture, infrastructure, cybersecurity, operations, risk, and compliance teams to deliver end-to-end solutions.
Troubleshoot complex issues across infrastructure, applications, APIs, services, deployments, cloud platforms, and identity integrations.
Drive engineering solutions through design, development, testing, deployment, operational readiness, and production support.
Ensure solutions meet enterprise standards for security, resiliency, auditability, access management, and regulatory compliance.
Support technology solutions associated with electronic communications capture, archiving, retention, supervision, and surveillance.
Evaluate and help adopt emerging technologies, including GCP, Vertex AI, Generative AI, AI agents, and related AI tools where appropriate.
Provide technical leadership, establish engineering best practices, perform technical reviews, and mentor other engineers.