Sr Middleware Engineer Kafka Hybrid

At Broadridge weve built a culture where the highest goal is to empower others to accomplish more. If youre passionate about developing your career while helping others along the way come join the Broadridge team.

Broadridge is hiring! Are you ready to drive innovation at the core of realtime data streaming Join our dynamic team as a Sr. Middleware Engineer where your expertise in Kafka will unleash the potential of robust scalable and futureproof eventdriven architectures. As a key player in our cuttingedge technology stack you will lead the design and implementation of Kafkabased solutions using Confluent Cloud and Confluent Platform architecting systems that seamlessly integrate with onpremises and multicloud environments like AWS Azure or GCP.

We are made up of highperforming teams that meet in person to learn and collaborate as needed. This role is considered hybrid which means youll be assigned to a Broadridge office and will work both onsite and remote.

Responsibilities:

Architecture & Design

• Architect design and implement Kafkabased solutions using Confluent Cloud and Confluent Platform ensuring they are highly scalable resilient and futureproof.

• Provide technical leadership in designing eventdriven architectures that integrate with onprem 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 realtime data streaming use cases.

Deployment & Automation

• Lead deployments and configurations of Kafka topics partitions replication strategies in both onprem 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 onprem 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 InfoSec teams to stay compliant with internal and industry regulations (GDPR SOC PCI etc..

CrossFunctional Collaboration

• Work with DevOps 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.

Qualifications:

Technical Expertise

• 5 years of handson 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 onprem and cloud (AWS Azure GCP).

• Advanced understanding of eventdriven architecture and the realtime data integration ecosystem.

• Strong programming/scripting skills (Java Python Scala) for Kafkabased application development and automation tasks.

DevOps & Automation

• Handson experience with Infrastructure as Code (Terraform CloudFormation) for Kafka resource management in both cloud and onprem.

• 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 largescale distributed Kafka environments using Splunk Datadog Prometheus or similar tools.

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

Security & Compliance

• Expertise in securing Kafka deployments including Kerberos and SSL configurations.

• Understanding of IAM best practices network security encryption and governance in hybrid environments.

Leadership & Collaboration

• Demonstrated experience leading platform upgrades migrations and architecture reviews.

• Excellent communication skills with ability to articulate complex technical concepts to diverse audiences (developers architects executives).

• Comfortable collaborating with crossfunctional teamsproduct owners system engineers security and business stakeholders.

Education & Preferred Experience

• Bachelors or Masters degree in Computer Science Information Systems or related field (or equivalent experience).

• Experience with container orchestration (Docker/Kubernetes) is a plus.

Compensation Range: The salary range for this position is between $125000 $145000. Broadridge considers various factors when evaluating a candidates final salary including but not limited to relevant experience skills and education.
Bonus Eligibility: Bonus Eligible
Benefits Information: Please visit www.broadridgebenefits for more information on our comprehensive benefit offerings.

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Disability Assistance

We recognize that ensuring our longterm success means creating an environment where everyone is welcome where everyones strengths are valued and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race color religion sex (including sexual orientation gender identity or expression and pregnancy) marital status national origin ethnic origin age disability genetic information military or veteran status and other protected characteristics protected by applicable federal state or local laws.

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