Senior Kafka & Confluent Streaming Engineer

ManpowerGroup Global, Inc.; Phoenix (AZ); On-site; USD 100,000 - 130,000; Full time

Job summary

ManpowerGroup Global, Inc. is seeking an Apache Kafka / Confluent Engineer in Chandler, AZ, to design and support real-time data streaming platforms in a large-scale enterprise environment. You will manage Kafka and Confluent environments, optimize performance, and troubleshoot production issues.

The ideal candidate will have strong experience in Kafka and distributed systems, with the potential for working in financial services. Become a key player in integrating Kafka-based solutions and contribute to high-availability environments.

Qualifications

• 5+ years of experience in distributed systems / middleware support.
• Strong hands-on experience with Apache Kafka and Confluent Platform.
• Proven experience in Kafka setup, configuration, and cluster management.
• Familiarity with monitoring tools (Prometheus, Grafana).

Responsibilities

• Install, configure, and manage Apache Kafka and Confluent Platform environments.
• Design and implement high-throughput, fault-tolerant data streaming solutions.
• Monitor and optimize Kafka cluster performance.
• Troubleshoot production issues and perform root cause analysis.

Skills

Distributed systems / middleware support

Apache Kafka and Confluent Platform

Kafka setup, configuration, and cluster management

Linux/Unix environments

Monitoring tools (Prometheus, Grafana)

Troubleshooting in production environments

Event-driven architecture

Tools

Kafka Connect

Docker

Kubernetes

Job description

ManpowerGroup Global, Inc. is seeking an Apache Kafka / Confluent Engineer in Chandler, AZ, to design and support real-time data streaming platforms in a large-scale enterprise environment. You will manage Kafka and Confluent environments, optimize performance, and troubleshoot production issues.

The ideal candidate will have strong experience in Kafka and distributed systems, with the potential for working in financial services. Become a key player in integrating Kafka-based solutions and contribute to high-availability environments.