Lead Infrastructure as Code (IaC) Developer

Wells Fargo & Company • Irving, TX

2d • Hybrid

About The Position

About this role: Wells Fargo is seeking a seasoned Lead Infrastructure as Code (IaC) Developer to join our Engineering team and help build the automation foundations that provision, manage, and scale our Confluent Kafka platform. This role is ideal for a hands‑on engineer who understands the operational complexity of distributed streaming systems and is passionate about enabling frictionless self‑service through automation. You will lead by example—designing and implementing scalable IaC modules and GitOps workflows that abstract the complexity of provisioning Confluent Kafka clusters, configuring brokers, managing partitions and replication, enforcing ACLs and security policies, deploying platform components such as Schema Registry and Connect workers, and enabling enterprise‑grade observability. This role blends strategic platform architecture, automation engineering, and high-quality code delivery. In this role, you will: Lead large-scale initiatives to automate provisioning, configuration, and lifecycle operations for Confluent Kafka clusters and streaming platform components Architect and develop reusable IaC components (Terraform, Ansible) for Kafka broker deployment, scaling, topic provisioning, partition/replication configuration, RBAC/ACL policies, and failover strategies Develop robust APIs using Java Spring Boot to expose Kafka provisioning, configuration, quota management, and governance workflows Design and implement GitOps-driven workflows to automate Kafka cluster and topic changes—including partition scaling, retention policies, cluster configurations, and Confluent add‑ons (Schema Registry, Kafka Connect, ksqlDB) Build and maintain self-service platform capabilities enabling developers to request Kafka topics, schemas, service accounts, ACLs, and other resources through intuitive APIs or service catalogs Define and enforce Kafka platform standards, including naming conventions, topic retention requirements, HA/DR patterns, multi‑AZ/multi‑region guidelines, and enterprise security controls Collaborate across engineering, security, and product teams to align Kafka automation efforts with strategic organizational goals Participate in architecture and code reviews while mentoring engineers on Kafka platform operations, IaC patterns, and automation best practices Continuously improve platform reliability, performance, scalability, and operational efficiency through automation and infrastructure modernization

Requirements

• 5+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of full‑stack software development experience using Java.
• 3+ years of experience deploying and operating Confluent Kafka (cloud, hybrid, or on‑prem)
• 3+ years of experience with data modeling, event schema design, and SQL‑based data processing
• 3+ years of experience with IaC tools such as Terraform and Ansible
• 3+ years of experience implementing GitOps or similar automation practices
• 2+ years of experience with Kubernetes/OCP, containerization, and hybrid cloud platforms (AWS, Azure, GCP)
• 2+ years of experience designing and consuming RESTful APIs and integrating automation into platform services

Nice To Haves

• Experience working with multi‑region replication, Cluster Linking, and advanced Confluent HA/DR architectures
• Deep understanding of Confluent Kafka internals including brokers, partitions, ISR, replication, KRaft/ZooKeeper roles, and controller behavior
• Experience implementing Confluent platform modules such as Schema Registry, Kafka Connect connectors, and ksqlDB
• Familiarity with designing event-driven architectures and streaming pipelines built on Kafka
• Experience with high availability and DR patterns across multi‑AZ and multi‑region Kafka deployments
• Hands‑on experience with observability tools (Prometheus, Grafana, ELK) and Confluent monitoring APIs/metrics

Responsibilities

• Lead large-scale initiatives to automate provisioning, configuration, and lifecycle operations for Confluent Kafka clusters and streaming platform components
• Architect and develop reusable IaC components (Terraform, Ansible) for Kafka broker deployment, scaling, topic provisioning, partition/replication configuration, RBAC/ACL policies, and failover strategies
• Develop robust APIs using Java Spring Boot to expose Kafka provisioning, configuration, quota management, and governance workflows
• Design and implement GitOps-driven workflows to automate Kafka cluster and topic changes—including partition scaling, retention policies, cluster configurations, and Confluent add‑ons (Schema Registry, Kafka Connect, ksqlDB)
• Build and maintain self-service platform capabilities enabling developers to request Kafka topics, schemas, service accounts, ACLs, and other resources through intuitive APIs or service catalogs
• Define and enforce Kafka platform standards, including naming conventions, topic retention requirements, HA/DR patterns, multi‑AZ/multi‑region guidelines, and enterprise security controls
• Collaborate across engineering, security, and product teams to align Kafka automation efforts with strategic organizational goals
• Participate in architecture and code reviews while mentoring engineers on Kafka platform operations, IaC patterns, and automation best practices
• Continuously improve platform reliability, performance, scalability, and operational efficiency through automation and infrastructure modernization

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed