Apache Kafka / Confluent Engineer - Onsite - Chandler, AZ

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

Job Title: Apache Kafka / Confluent Engineer

Location: Chandler, AZ
Pay Rate: Competitive (based on experience)
Client: Confidential (Leading Financial Services Organization)

Job Summary

We are looking for a skilled Apache Kafka / Confluent Engineer to design, implement, and support real-time data streaming platforms in a large-scale enterprise environment. The ideal candidate will have hands-on experience with Kafka and Confluent Platform setup, configuration, and administration, along with strong expertise in distributed systems and event-driven architecture.

Key Responsibilities

• Install, configure, and manage Apache Kafka and Confluent Platform environments
• Design and implement high-throughput, fault-tolerant data streaming solutions
• Perform cluster setup, topic configuration, partitioning, and replication strategies
• Monitor and optimize Kafka cluster performance, availability, and scalability
• Troubleshoot production issues and perform root cause analysis (RCA)
• Manage Kafka brokers, Zookeeper/KRaft mode, and Confluent components
• Implement security (SSL, SASL, ACLs) and governance best practices
• Work closely with development teams to integrate Kafka-based solutions
• Support production environments, including on-call rotation if needed
• Develop automation scripts for environment provisioning and monitoring

Required Skills & Experience

• 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
• Knowledge of Kafka architecture (brokers, topics, partitions, consumers, producers)
• Experience with Linux/Unix environments and scripting (Shell, Python, or similar)
• Familiarity with monitoring tools (Prometheus, Grafana, or Confluent Control Center)
• Strong troubleshooting skills in production environments
• Understanding of event-driven architecture and messaging systems

Preferred Qualifications

• Experience in financial services or banking domain
• Exposure to cloud platforms (AWS, Azure, GCP)
• Experience with Kafka Connect, Schema Registry, ksqlDB
• Knowledge of CI/CD pipelines and DevOps practices
• Familiarity with containerization tools (Docker, Kubernetes)

Soft Skills

• Strong communication and collaboration skills
• Ability to work in a fast-paced, high-availability environment
• Analytical and problem-solving mindset
• Detail-oriented and proactive approach