Level

Wells Fargo

Senior / Lead Infrastructure Engineer / Developer

Wells Fargo is hiring a Senior / Lead Infrastructure Engineer / Developer. Level rates it ; you can apply on Wells Fargo.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Vertex AI, Terraform and GitHub.
  • Level classifies it as a lead role.
  • Level lists 1,600+ other open roles at Wells Fargo.
  • The role was posted in the last few days.

AI in this role

Design and develop secure enterprise infrastructure and cloud solutions incorporating cloud AI technologies.

vertex-aiterraformgithubazureazure-functionsazure-storageentra-idpowershellpythontypescriptgojava+2
ai-agentsinfrastructure-as-codecloud-engineeringci-cddevopsiamgenerative-aimicroservices

About this role:

Wells 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 Skills

Terraform | 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 Compliance


In 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 Qualifications

  • 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, Identity and Access Management
  • Strong scripting and software development skills using one or more of the following: PowerShell, Python, TypeScript, Go, Java and 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 with the ability to work across application, infrastructure, cloud, security, and operations teams.

Desired Qualifications

  • 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.

Posting End Date: 

4 Nov 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

#DNP-IND

How we rate this

Senior / Lead Infrastructure Engineer / Developer at Wells Fargo rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsInfrastructure As CodeCloud EngineeringCI/CDDevOpsIamGenerative AIMicroservices

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where infrastructure as code was part of your work. What did you do?
  3. Tell me about a project where cloud engineering was part of your work. What did you do?
  4. Tell me about a project where ci/cd was part of your work. What did you do?
  5. Tell me about a project where devops was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Infrastructure As Code, Cloud Engineering, CI/CD, and DevOps. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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