Senior / Lead Infrastructure Engineer / Developer

Senior / Lead Infrastructure Engineer & DeveloperWells Fargo is seeking an experienced Senior / Lead Infrastructure Engineer & Developer with 8+ years of experience designing, developing, automating, and supporting secure, scalable enterprise technology solutions.The ideal candidate will have strong hands-on expertise in Infrastructure as Code, cloud engineering, CI/CD, APIs and services, software development, automation, identity and access management, and production support. The role requires an engineer who can work across infrastructure and application layers and take solutions from design and development through deployment and production readiness.Experience in a regulated industry, particularly with regulatory and compliance requirements related to electronic communications archiving, retention, and surveillance, is highly desirable. Experience with GCP, Vertex AI, Generative AI, and other emerging AI technologies is preferred.Key Technical SkillsTerraform | GitHub | CI/CD | Azure | Azure Functions | Azure Storage | Entra ID / Azure AD | APIs | REST Services | Microservices | System Integration | PowerShell | Python | TypeScript | Go | Java | DevOps | Infrastructure as Code | Cloud Engineering | IAM | GCP | Vertex AI | Generative AI | AI Agents | Kubernetes/OCP | eCommunications Archiving & Surveillance | Regulatory ComplianceIn This Role, You Will:Design, develop, implement, and support secure, scalable, resilient enterprise infrastructure and cloud solutions.Develop and maintain Infrastructure as Code (IaC) using Terraform, including reusable modules and automated environment provisioning.Build, enhance, and maintain CI/CD pipelines using GitHub and related DevOps technologies.Design and implement solutions leveraging 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/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 the complete lifecycle, including 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/agentic solutions, and related AI tools, where appropriate.Provide technical leadership, establish engineering best practices, perform technical reviews, and mentor other engineers.Required Qualifications8+ 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, Identity and Access ManagementStrong scripting and software development skills using one or more of the following: PowerShell, Python, TypeScript, Go, Java and Other modern programming languagesStrong 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 with the ability to work across application, infrastructure, cloud, security, and operations teams.Desired QualificationsExperience 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.