Lead Cloud Infrastructure Engineer
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Wells Fargo is seeking a Lead Infrastructure Engineer on the Cloud Policy and Data Protection Engineering team within Core Infrastructure Services (CIS). CIS accelerates enterprise application transformation by empowering engineers to build and run secure, scalable applications on cloud platforms. This role requires strong software engineering fundamentals, extensive automation experience, and the ability to design, build, and lead delivery of enterprise cloud compliance and data protection capabilities. Must have extensive experience with scripting and automation practices.
In this role, you will:
Full‑stack product engineering:
- Design and build internal applications, dashboards, and APIs for cloud policy, firewall, and data‑protection services using ReactJS, Python, Django, Postgres SQL and Azure SQL Managed Instance (SQL MI).
- Create secure, testable backend services (REST), integrate with cloud policy/KMS platforms, and automation systems.
- Build reusable UI components and front‑end frameworks that support consistent user experiences across policy, firewall, and data‑protection dashboards.
- Own the full API lifecycle, including design, versioning, documentation, and long‑term maintenance, to support scalable integration patterns across engineering teams.
- Implement monitoring and observability for applications and services using tools such as Application Insights, Azure Monitor, and Cloud Logging to ensure reliability and performance.
- Ensure strong developer experience (DX) through intuitive APIs, documentation, self‑service workflows, and responsive support patterns.
Cloud policy engineering:
- Engineer and operationalize policy frameworks across Azure and GCP (e.g., Azure Policy, GCP Organization Policy, HashiCorp Sentinel), including remediation, exemptions, compliance mapping.
- Resolve complex cloud‑control challenges such as VPC‑SC errors and guardrail conflicts.
- Contribute to companywide standards/best practices, landing‑zone patterns, and “secure‑by‑default” resource templates.
Data protection engineering:
- Engineer, operate, and automate key and secret management and data protection services (e.g., Azure Key Vault, Managed HSM, Cloud KMS; rotation, audit, monitoring) for Azure and GCP platforms.
- Provide Tier‑3 engineering support, incident response, and vendor escalation for encryption technologies to ensure resiliency and alignment with enterprise security requirements.
Platform, IaC & DevOps:
- Design, code, test, and ship cloud infrastructure using Terraform (modules, registries, versioning, policy‑as‑code) with GitHub and CI/CD (GitHub Actions, Jenkins, Harness).
- Implement event‑driven automation (Functions/Logic Apps/Event Grid; Pub/Sub equivalents), IaC testing (tflint, compliance tests), and Terraform Enterprise workflows for scale.
Leadership & collaboration:
- Lead complex, cross‑org cloud initiatives; act as an escalation point; mentor engineers; and collaborate with partner teams and vendors in a globally distributed environment.
- Define architectural patterns and technical strategy for cloud policy, compliance automation, and data‑protection services, ensuring solutions scale across multiple cloud platforms and engineering teams.
Required Qualifications:
- 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years full‑stack development (ReactJS, Python, Django, MI/ SQL Server)
- 3+ years IaC with Terraform and GitHub (module development, versioning, reusable patterns, and compliance controls)
- 3+ years cloud platform security services
- 3+ years DevOps/CI‑CD engineering (GitHub Actions, Jenkins, Harness)
Desired Qualifications:
- 3 yrs with Azure or GCP platform security services
- Scripting in PowerShell/Bash
- Experience with key/secret management and encryption technologies
- IAM/Entra ID, service accounts, managed identities, least‑privilege
- Experience automating and managing Palo Alto cloud firewall policies through Terraform, GitHub workflows, or other CI/CD platforms
- Cloud networking fundamentals
- Terraform Enterprise, remote state/workspaces, policy‑as‑code
- Event‑driven automation and modern authentication
- CSPM and Cloud Control Matrix familiarity
- Azure data services experience (Private Link, Key Vault, Data Factory, Purview, Databricks, Synapse)
- Experience with paved‑path/internal platform module development
- Azure and/or GCP certifications (preferred professional level)
- DLP, data masking, tokenization
- AI/GenAI for cloud automation
Job Expectations:
- This position is not eligible for visa sponsorship
- This is a hybrid position that requires working on-site at one of the specified locations, with no fully remote option available.
- This position does not have relocation allowance available.
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