This role pays less than
58%
of similar roles. Most pay
$145,000–$216,537
— the shaded band above.
At the midpoint, this role pays about
$172k
versus about
$181k
for comparable roles.
Based on 240 similar postings.
Employer
About Wells Fargo
Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services
Wells Fargo currently has
91 open roles
on FindRole.
Listed pay typically runs
$159,000–$254,000
across 49 roles with salary data.
The Lead Platform Engineer role within the enterprise engineering team requires a senior professional with extensive experience in Confluent Kafka and OpenShift (OCP) to design, build, and maintain scalable event streaming platforms. This individual will lead complex initiatives to deliver robust Kafka solutions on OCP, focusing on automation, performance optimization, and high availability. Key responsibilities include designing operator-based frameworks for Kafka infrastructure, developing CI/CD pipelines, and implementing disaster recovery strategies across multi-region environments. The ideal candidate possesses deep expertise in distributed systems, container platforms like Kubernetes, and security practices within enterprise settings. They will collaborate closely with internal teams and external vendors to drive platform delivery and compliance with regulatory standards, ensuring seamless adoption of Kafka by application teams while optimizing cost and performance for large-scale operations.
Lead the design and delivery of Confluent Kafka platforms on OpenShift for scalable, secure event streaming solutions.
Build and maintain Kafka infrastructure using operator-based frameworks to support brokers, Schema Registry, and other components.
Drive continuous improvement by modernizing platform upgrades, automation, and performance optimization in Kafka and OCP environments.
Evaluate and integrate Kafka ecosystem tools and OCP-native capabilities to align with enterprise architecture standards.
Develop automation frameworks for standardizing Kafka cluster provisioning, configuration, and lifecycle management using CI/CD pipelines.
Architect high availability solutions including cross-data center deployments and replication strategies for multi-region resilience.
Define governance standards for platform operations, ensuring compliance with security policies and data isolation strategies.
What we're looking for
5+ years of experience in distributed systems, platform engineering, or infrastructure engineering with a focus on event streaming platforms
Hands-on expertise with Apache Kafka/Confluent Platform and OpenShift (OCP) including operators, namespaces, networking, and storage integration
Proven ability to design and operate highly available, multi-node or multi-data-center distributed systems with replication and disaster recovery strategies
Strong knowledge of automation, Infrastructure-as-Code, CI/CD pipelines, and declarative deployment models for Kafka clusters
Solid understanding of security practices, including TLS/mTLS, authentication, authorization (RBAC), and certificate lifecycle management in enterprise environments