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# Senior Kafka Developer

- **Company:** CGI Technologies and Solutions, Inc.
- **Location:** Strongsville, OH, United States
- **Experience:** Expert
- **Salary:** $57,100.0 - $154,300.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Information Engineering, Data Integrity, Data Loss, Data Systems, DevOps, Distributed Systems, Apache Hadoop, Apache Hive, Python (Programming Language), OpenShift, Data Streaming, Systems Integration, Event Driven Architecture, Kubernetes, Low Latency, Avro, Apache Kafka, Stream Processing, Splunk, Data Pipelines, Dynatrace, Confluent, Microservices
- **Published:** June 28, 2026
- **Apply:** https://www.juju.com/job/00000000gbzc5i

## About the Role

8+ years of experience in data engineering or distributed systems

. 4+ years of hands-on experience with Apache Kafka

. Strong expertise in event-driven architecture and microservices

. Experience integrating Kafka with APIs, batch systems, and databases

. Knowledge of schema management (Avro/Schema Registry)

. Experience with cloud platforms (AWS and Azure)

. Strong understanding of data integrity, reconciliation, and observability concepts

. Experience with banking/financial services data systems

. Familiarity with log-based ingestion (LogScale/Elastic)

. Experience with Kubernetes/OpenShift environments, + Apache Kafka

 + Hadoop Hive

 + Python

 + Splunk

## Description

We are seeking an experienced Kafka Streaming Developer to lead the design, implementation, and optimization of real-time data streaming solutions within the Data & Automation portfolio. This role is critical in enabling scalable, reliable, and observable data pipelines across batch, API, and streaming ecosystems.

This role is located in our client's office five days a week in Strongsville, OH. Do not apply if you are not local or will not relocate yourself to Strongsville, OH.

Position Description

Future duties and responsibilities

. Architect and implement enterprise-grade Kafka streaming solutions (Confluent or equivalent)

. Define event-driven architecture patterns and integration strategies across batch, API, and streaming systems

. Design and manage Kafka topics, partitions, schemas, and retention strategies

. Build and optimize real-time ingestion pipelines and ensure high throughput and low latency

. Implement reconciliation and data integrity validation checkpoints within streaming flows

. Collaborate with data engineering, DevOps, and observability teams to integrate monitoring (e.g., LogScale, Dynatrace)

. Lead troubleshooting of production issues, including lag, data loss, duplication, and performance bottlenecks

. Conduct architecture reviews, whiteboarding sessions, and provide technical leadership

. Mentor junior engineers and enforce best practices in streaming and distributed systems


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