Sr. Kafka Engineer

Overview

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.

Broadridge is hiring a Sr. Kafka Engineer! As the Kafka Platform Director, you’ll lead the strategy, design, and operations of large-scale event streaming solutions with Confluent Cloud and Kafka. You’ll drive automation, security, and performance across hybrid and multi-cloud environments, ensuring the platform is resilient, scalable, and future-ready. Partnering with cross-functional teams, you’ll power real-time data streaming that fuels innovation and critical business insights.

Architecture & Design

• Architect,
  design
  , and implement Kafka-based solutions using Confluent Cloud and Confluent Platform
  , ensuring they are highly scalable, resilient, and future-proof
  .

• Provide technical leadership in designing event-driven architectures that integrate with on-prem systems and multiple cloud environments (AWS, Azure, or GCP).

Platform Management

• Oversee administration and operational management of Confluent Platform components:
  Kafka brokers
  , Schema Registry
  , Kafka Connect
  , ksqlDB
  , and REST Proxy
  .

• Develop and maintain Kafka producers
  , consumers
  , and streams applications to support real-time data streaming use cases.

Deployment & Automation

• Lead deployments and configurations of Kafka topics, partitions, replication strategies in both on-prem and cloud setups.

• Automate provisioning, deployment, and maintenance tasks with Terraform
  , Chef
  , Ansible
  , Jenkins
  , or similar CI/CD tools.

Monitoring & Troubleshooting

• Implement robust monitoring
  , alerting
  , and observability frameworks using Splunk
  , Datadog
  , Prometheus
  , or similar tools for both Confluent Cloud and on-prem clusters.

• Proactively troubleshoot Kafka clusters, diagnose performance issues, and conduct root cause analysis for complex, distributed environments.

Performance & Capacity Planning

• Conduct capacity planning and performance tuning to optimize Kafka clusters; ensure they can handle current and future data volumes.

• Define and maintain SLA/SLI metrics to track latency, throughput, and downtime.

Security & Compliance

• Ensure secure configuration of all Kafka and Confluent components, implementing best practices for authentication (Kerberos/OAuth),
  encryption (SSL/TLS), and access control (RBAC).

• Collaborate with Info Sec teams to stay compliant with internal and industry regulations (GDPR, SOC, PCI, etc.).

Cross-Functional Collaboration

• Work with Dev Ops
  , Cloud
  , Application
  , and Infrastructure teams to define and align business requirements for data streaming solutions.

• Provide guidance and support during platform upgrades, expansions, and new feature rollouts.

Continuous Improvement

• Stay current with Confluent Platform releases and Kafka community innovations.

• Drive continuous improvement by recommending new tools, frameworks, and processes to enhance reliability and developer productivity.

• 5+ years of hands-on experience with Apache Kafka
  ; at least 2+ years focused on Confluent Cloud and Confluent Platform
  .

• Deep knowledge of Kafka Connect
  , Schema Registry
  , Control Center
  , ksqlDB
  , and other Confluent components.

• Experience architecting and managing hybrid Kafka solutions in on-prem and cloud (AWS, Azure, GCP).

• Advanced understanding of event-driven architecture and the real-time data integration ecosystem.

• Strong programming/scripting skills (Java, Python, Scala) for Kafka-based application development and automation tasks.

Dev Ops & Automation

• Hands-on experience with Infrastructure as Code (Terraform, Cloud Formation) for Kafka resource management in both cloud and on-prem
  .

• Familiarity with Chef
  , Ansible
  , or similar configuration management tools to automate deployments.

• Skilled in CI/CD pipelines (e.g., Jenkins) and version control (Git) for distributed systems.

Monitoring & Reliability

• Proven ability to monitor and troubleshoot large-scale, distributed Kafka environments using Splunk, Datadog, Prometheus, or similar tools.

• Experience with
  performance tuning and incident management to minimize downtime and data loss.

Secur…