Senior Software Engineer

Wells Fargo & Company•Minneapolis, MN

2d•$100,000 - $179,000•Hybrid

About The Position

About this role: Wells Fargo is seeking a Senior Software Engineer within Core Infrastructure Services (CIS) to enable and manage safe, secure, and efficient public cloud environments across Microsoft Azure and Google Cloud Platform. CIS accelerates enterprise application transformation by empowering engineers to build and run applications securely on cloud platforms. This position focuses on cloud platform enablement, infrastructure automation, and secure-by-default foundations that support large-scale, regulated workloads. The role will collaborate closely with platform engineers, security, and delivery teams to drive reliable cloud adoption. In this role, you will: Lead moderately complex initiatives and deliverables within cloud and infrastructure technical domains. Contribute to large-scale planning of cloud platform strategies and foundational services. Design, code, test, debug, document, and deploy infrastructure and automation for cloud platforms, including upgrades and deployments. Review and resolve moderately complex technical challenges requiring in-depth evaluation of cloud technologies, tooling, and procedures. Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Build and operate secure-by-default Azure and GCP resources aligned with enterprise security and compliance requirements. Lead projects, act as an escalation point, and provide guidance to less experienced engineers. Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and achieve shared goals. Enable CI/CD and event-driven automation for infrastructure using modern DevOps practices.

Requirements

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of Software Development Lifecycle (SDLC) experience from planning through deployment and optimization
2+ years of hands-on experience enabling Microsoft Azure cloud services with knowledge in Google Cloud Platform (GCP).
2+ years of experience with Infrastructure as Code using Terraform, including module development, versioning, reusable patterns, and compliance controls.
2+ years of experience designing and implementing enterprise-grade DevOps and CI/CD automation.

Nice To Haves

Hands-on experience enabling Google Cloud Platform (GCP) Services.
Hands on experience with Azure (VNet, Private Link, Key Vault, Data Factory, Data Share, Data Explorer, Data Fabric, Databricks, Synapse, Purview, Analysis Services) and knowledge of GCP (VPC, Private Service Connect, Cloud KMS).
Strong understanding of IAM/Entra ID, service accounts, managed identities, and least privilege access.
Experience with remote state, workspace organization, and module registries, ideally using Terraform Enterprise (TFE).
Ability to build secure-by-default cloud resources.
Knowledge of policy products Azure Policy, HashiCorp Sentinel, Prisma, and GCP Organization Policy to enforce guardrails.
Knowledge of logging, audit, encryption, and secret management best practices.
Understanding of cloud networking concepts: VPC/VNet design, private connectivity, firewalls, routing, DNS, and segmentation.
Experience with GitHub Actions, Jenkins, Harness for automated Terraform pipelines.
Experience with event-driven automation (Azure Functions, Logic Apps, Event Grid)
Modern auth patterns (OIDC, Workload Identity Federation), no static credentials.
Strong coding/scripting skills in Python, PowerShell, HCL or other scripting languages.
Solid Git workflows, code review practices, and documentation habits.
Ability to design deployable, scalable cloud patterns aligned to landing zone or foundation models.
Experience building internal platform modules, templates, or paved paths for product teams.
Familiar with IaC testing and quality tools (tflint, Terraform Compliance, Terraform Testing Framework).
Experience in designing or developing AI, Generative AI, or agentic automation solutions.
Azure and GCP certifications in relevant areas.

Responsibilities

Lead moderately complex initiatives and deliverables within cloud and infrastructure technical domains.
Contribute to large-scale planning of cloud platform strategies and foundational services.
Design, code, test, debug, document, and deploy infrastructure and automation for cloud platforms, including upgrades and deployments.
Review and resolve moderately complex technical challenges requiring in-depth evaluation of cloud technologies, tooling, and procedures.
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Build and operate secure-by-default Azure and GCP resources aligned with enterprise security and compliance requirements.
Lead projects, act as an escalation point, and provide guidance to less experienced engineers.
Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and achieve shared goals.
Enable CI/CD and event-driven automation for infrastructure using modern DevOps practices.