About this role
Wells Fargo is seeking a Principal Engineer within its Infrastructure Engineering & Architecture organization. This role will provide deep, hands-on technical leadership to drive automation across OpenShift, Kubernetes, and foundational platform ecosystems.
Responsibilities span platform engineering across on-prem and cloud compute, storage, virtualization, and containerization platforms.
This role will also drive platform modernization (including self-service capabilities for end-users and support partners), observability, reliability, and regulatory compliance.
In this role, you will:
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Act as the senior technical authority for platform automation across on-prem and cloud compute, storage, virtualization, and containerization platforms.
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Define engineering standards and automation patterns for multi-cluster, multi-cloud environments.
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Lead code reviews, enforce engineering best practices, and guide teams toward resilient automation-focused designs.
- Develop reusable automation modules, operators, GitOps templates, and API-based workflows.
- Lead OpenShift Virtualization, OpenShift on Azure/GKE validation, and certification of integrations.
- Modernize end-to-end provisioning using API-driven microservices and fully automated workflows.
- Automate certificate lifecycle management, service mesh provisioning, and cluster maintenance workflows.
- Improve drift, vulnerability, and compliance automation in partnership with governance teams.
- Enhance observability with unified dashboards, SLO enforcement, resiliency automation, and MTTR reduction.
- Mentor engineers, lead technical councils, and support major cross-team engineering decisions.
Required Qualifications:
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 7+ years of compute, storage, virtualization, and containerization platform engineering experience.
- 5+ years of hands-on Kubernetes/OpenShift experience in large environments.
- Automation of complex infrastructure workflows using Terraform/Ansible.
- Hands-on scripting using Python, Go, or Bash.
- Experience with GitOps (Argo CD, Flux) and CI/CD automation.
- Hybrid cloud engineering (on-prem, Azure, GCP) including multi-cloud connectivity and security.
- Strong background in platform reliability, SLOs, observability, and automation-first operating models.
- Experience delivering OpenShift Virtualization and modernization programs.
- Experience with Prisma integrations for vulnerability and drift automation.
- Experience designing platform-wide observability dashboards and analytics pipelines.
- Financial services or regulatory industry experience.
- Certifications: CKA/CKAD, RHCSA/RHCE, Terraform Associate, Azure/GCP Professional.
Success Measures:
- Increased automation coverage and reduction of manual operational workflows.
- Accelerated onboarding to platform via self-service and GitOps workflows.
- Improved reliability, lower MTTR, and operational consistency across platform teams.
- Stronger compliance and audit posture enabled through automated controls and drift management.
- Greater efficiency and reduced friction across on-prem and cloud compute, storage, virtualization and containerization platforms and products.
Job Expectations:
-
Act as the senior technical authority for platform automation across on-prem and cloud compute, storage, virtualization, and containerization platforms.
-
Define engineering standards and automation patterns for multi-cluster, multi-cloud environments.
-
Lead code reviews, enforce engineering best practices, and guide teams toward resilient automation-focused designs.
- Develop reusable automation modules, operators, GitOps templates, and API-based workflows.
- Lead OpenShift Virtualization, OpenShift on Azure/GKE validation, and certification of integrations.
- Modernize end-to-end provisioning using API-driven microservices and fully automated workflows.
- Automate certificate lifecycle management, service mesh provisioning, and cluster maintenance workflows.
- Improve drift, vulnerability, and compliance automation in partnership with governance teams.
- Enhance observability with unified dashboards, SLO enforcement, resiliency automation, and MTTR reduction.
- Mentor engineers, lead technical councils, and support major cross-team engineering decisions.