Apache Kafka / Confluent Engineer - Onsite...

Manpower
Phoenix, AZ, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure DevOps Distributed Systems Middleware Fault Tolerance Monitoring of Systems Python (Programming Language) Prometheus Data Streaming Apache Zookeeper Scripting
+10 more
Transport Layer Security Google Cloud Grafana Event Driven Architecture Containerization Kubernetes Apache Kafka Stream Processing Docker Confluent

Job description

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., + 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

Requirements

  • 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

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