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Apache Kafka / Confluent Engineer - Onsite - Chandler, AZ

Experis -
Phoenix, AZ

Quick Apply

Job Details

Contract
$65 an hour

Qualifications

UNIX
Event-driven architecture
IT monitoring tools
Distributed systems
Technical troubleshooting support
Kafka
Distributed computing
Middleware systems
System performance monitoring

Full 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

Quick Apply

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