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Principal Platform Engineer — Data Private Cloud

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States , CHARLOTTE ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

159000.00 - 305000.00 USD / Year
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Job Description:

Principal Platform Engineer to lead the technical strategy, architecture, and delivery of Wells Fargo’s enterprise Data Private Cloud. This is a Kubernetes/OpenShift platform engineering role, responsible for designing and operating the large‑scale infrastructure that powers data, analytics, and AI workloads across the company. This is a hands-on senior engineering role with end-to-end ownership of platform architecture.

Job Responsibility:

  • Architect the Kubernetes-based data platform
  • Build infrastructure, automation, and security foundations
  • Define standards, controls, and multi‑tenant patterns
  • Enable data engineers, ML engineers, and analytics teams by providing a scalable, secure platform they run on
  • Own the architecture of the enterprise data platform (OpenShift, Kubernetes, modern data stacks)
  • Define platform standards for security, scalability, multi-tenancy, and operational excellence
  • Lead decisions around compute orchestration (Spark on K8s, YuniKorn), query federation (Trino, Kyuubi), and metadata management (Gravitino, Hive Metastore)
  • Design authentication/authorization (Keycloak, AD, Ranger)
  • Shape infrastructure strategy and open-source deployment patterns
  • Lead Terraform-based IaC and repeatable deployment practices
  • Architect networking, ingress, and service mesh configurations
  • Oversee PKI, SSL/TLS, and certificate lifecycle management
  • Build monitoring and observability strategies (OpenSearch, Prometheus, Grafana)
  • Ensure resilience through scheduling, quotas, and capacity planning
  • Implement GitOps for declarative deployments
  • Provide leadership for the platform that runs these technologies, not the pipelines or applications built on them
  • Ensure compliance with regulatory requirements (OSFI, SOX, PCI-DSS)
  • Implement multi-tenant isolation and robust security boundaries
  • Lead security reviews, threat modeling, and remediation
  • Partner with Security, Risk, and Compliance teams on audits and controls

Requirements:

  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of hands-on experience with Kubernetes in production environments (OpenShift Container Platform strongly preferred)
  • Proven track record designing and operating large-scale data platforms in enterprise environments
  • Expert-level Kubernetes knowledge: deployments, stateful workloads, operators, CRDs, RBAC, network policies, storage classes
  • OpenShift Container Platform: Routes, SCCs, cluster administration, operator lifecycle management
  • Infrastructure-as-code with Terraform (modules, state management, provider development)
  • Container runtimes, image registries, and CI/CD pipeline integration
  • Apache Spark: architecture, tuning, Spark on Kubernetes, dynamic resource allocation
  • Distributed SQL engines (Trino, Presto) including federation and connector development
  • Apache Airflow: DAG design, executor configurations, Kubernetes executor
  • Data catalog and lineage tools (DataHub, Apache Atlas, or similar)
  • Apache Ranger or equivalent fine-grained authorization frameworks
  • Apache Iceberg or similar table formats
  • Hive Metastore operations
  • AIOps tools: anomaly detection with Prophet, PyOD, or custom models
  • log analytics with OpenSearch ML
  • Observability ML: Prometheus with recording rules, Grafana ML features, custom alerting models
  • Enterprise identity integration: LDAP, Active Directory, SAML, OIDC
  • Keycloak administration, realm configuration, and custom provider development
  • PKI, certificate management, and TLS termination strategies
  • Secrets management (HashiCorp Vault, Kubernetes secrets, external secrets operators)

Nice to have:

  • Experience in financial services or other highly regulated industries
  • Experience with Kubernetes scheduling frameworks (YuniKorn, Volcano) for batch and AI workload optimization
  • Contributions to open-source projects in the data or infrastructure
  • Experience building and deploying applications with enterprise data sources
  • Hands-on experience with transformer architectures and fine-tuning open-source models
  • Professional certifications: CKA/CKAD, AWS/Azure/GCP Professional, Terraform Associate
  • Experience with GitOps practices (ArgoCD, Flux)
  • Background in platform product management or developer experience
What we offer:
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Additional Information:

Job Posted:
January 31, 2026

Expiration:
February 15, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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