Kafka Admin

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); On-site; USD 100,000 - 140,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is looking for a skilled Kafka Admin based in Atlanta, GA, to install and manage Kafka clusters effectively. The ideal candidate will have a strong background in software engineering with over 10 years of experience, and at least 3–5 years in Kafka administration within enterprise environments.

Responsibilities include ensuring cluster performance, troubleshooting issues, and employing best security practices. A bachelor's or master's degree in computer science is required, along with proficiency in Linux and cloud-native environments.

Qualifications

• Minimum 10+ years of experience in software engineering.
• 3–5 years of experience in Kafka administration in enterprise environments.
• Strong understanding of Kafka internals and Zookeeper.

Responsibilities

• Install, configure, and manage Kafka clusters.
• Monitor cluster health, performance, and resource utilization.
• Troubleshoot and resolve issues related to Kafka brokers.

Skills

Kafka administration

Linux

Shell scripting

Monitoring tools

Cloud-native environments

CI/CD pipelines

DevOps practices

Education

Bachelor’s or master’s degree in computer science

Job description

Overview

Job Overview

• Job ID: J52373
• Job Title: Kafka Admin
• Location: Atlanta, GA
• Duration: 12 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Description

• Install, configure, and manage Kafka clusters (on-prem/cloud).
• Monitor cluster health, performance, and resource utilization.
• Manage Kafka topics, partitions, replication, and retention policies.
• Monitor Kafka performance, availability, and capacity using tools like Prometheus, Grafana, and Confluent Control Center.
• Implement security controls (authentication, authorization, encryption).
• Implement security best practices including TLS, Kerberos, and RBAC.
• Troubleshoot and resolve issues related to Kafka brokers, producers, and consumers.
• Collaborate with platform architects and developers to support real-time data use cases.
• Automate operational tasks using scripting and infrastructure-as-code tools.
• Support upgrades, patching, and disaster recovery planning.

Required Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or related field.
• Minimum 10+ years of experience in software engineering.
• 3–5 years of experience in Kafka administration in enterprise environments.
• Strong understanding of Kafka internals, Zookeeper, and Kafka Connect.
• Experience with Kafka in cloud-native environments (AWS MSK, Confluent Cloud, or self-managed on Kubernetes).
• Proficiency in Linux, shell scripting, and monitoring/logging tools.
• Familiarity with CI/CD pipelines and DevOps practices.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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