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Tech Mirrors is seeking a Kafka Administrator with over 5 years of strong hands-on experience in Core Apache Kafka administration. The role involves configuring and managing Kafka clusters, performance monitoring, and automating tasks using Ansible and Python.
Candidates should have extensive experience in administration, security implementation, and troubleshooting. The position is hybrid, allowing flexibility based on client requirements, but in-person interviews are mandatory.
Job Title: Kafka Administrator (Core Kafka | Automation | Ansible/Python)
Location:Dallas, TX or Jersey City, NJ (Must be able to attend an In-Person Interview)
Work Mode:Hybrid/Onsite (Based on Client Requirement)
Interview Mode:Mandatory In-Person (Face-to-Face) Interview
Experience:10+ Years Overall IT Experience
Core Kafka Experience:Minimum 5+ Years
NO – GC
Employment Type:Contract
Note:Candidates fromany U.S. locationare welcome to apply.Local candidates are NOT mandatory, but the candidatemust be willing to attend an in-person interviewat the client location.
Job Summary
We are looking for a highly skilledKafka Administratorwith strong hands-on experience inCore Apache Kafka Administrationand infrastructure automation. The ideal candidate should have a minimum of5+ years of dedicated Core Kafka experiencealong with strong expertise inAnsibleandPythonfor automation. The role involves administering enterprise Kafka clusters, ensuring high availability, monitoring performance, implementing security, troubleshooting production issues, and automating operational processes.
Key Responsibilities
Install, configure, administer, and upgrade Apache Kafka clusters.
Manage Kafka Brokers, ZooKeeper/KRaft, Kafka Connect, and Schema Registry.
Monitor Kafka cluster performance, broker health, producer throughput, consumer lag, and latency.
Configure and maintain Kafka topics, partitions, replication, and retention policies.
Perform Kafka performance tuning and capacity planning.
Implement Kafka security using SSL/TLS, SASL, Kerberos, and ACLs.
Troubleshoot Kafka production issues and perform Root Cause Analysis (RCA).
Automate Kafka administration, deployment, monitoring, and operational tasks usingAnsibleandPython.
Collaborate with development teams to optimize Kafka producers, consumers, and messaging architecture.
Support production deployments, upgrades, patching, and maintenance activities.
Ensure high availability and disaster recovery for Kafka environments.