Hi,
This is Diksha Chaudhary working with Novia Infotech. We have the below contract job opportunity with one of our direct clients and would like to check if you have any resources available. Please send across the resume of your consultants along with the contact information at the earliest to diksha.c@noviainfotech.com.
Role: Kafka Administrator – Automation
Location: : Jersey City, NJ / Tampa, FL – Onsite (5 Days per Week) – Locals Only
Duration: 12+ Months
Interview type: In- Person Interview
Description:
We are seeking a highly skilled Kafka Administrator with strong expertise in automation and large scale distributed systems. The ideal candidate will be responsible for managing, securing, and scaling high availability Kafka clusters across on premise and cloud environments. This role emphasizes automation using Infrastructure as Code tools such as Ansible, Terraform, and GitOps to minimize manual operational tasks while ensuring reliable and secure Kafka infrastructure.
Core Responsibilities
1.
Kafka Automation and Infrastructure as Code
Design and implement automation frameworks using Ansible playbooks and Python
scripts to automate Kafka installation, broker configuration, patching, and
version upgrades.
Implement Terraform for infrastructure provisioning and manage GitOps based
deployment pipelines using tools such as ArgoCD or Jenkins.
2.
Kafka Cluster Management
Deploy and manage Confluent Kafka clusters using Confluent for Kubernetes (CFK)
on Kubernetes or OpenShift environments.
Manage Kafka KRaft mode architecture, topics, partitions, and replication factors
to ensure high availability and optimal system performance.
3.
Monitoring and Performance Optimization
Implement proactive monitoring using Prometheus, Grafana, JMX, and Confluent
Control Center.
Monitor broker health, consumer lag, and producer latency while identifying and
resolving performance bottlenecks.
4.
Security and Compliance
Implement and automate Kafka security configurations including SASL, SSL, RBAC,
ACLs, and certificate management to ensure secure messaging infrastructure.
5.
Kafka Connect and Data Integration
Configure and manage Kafka Connect infrastructure and automate connector
deployments including integrations with platforms such as S3, JDBC, and
Snowflake.
Manage data governance and schema evolution using Confluent Schema Registry.
6.
Disaster Recovery and High Availability
Design and implement disaster recovery strategies including Active Passive
cluster configurations and Cluster Linking for multi region replication.
7.
Operational Excellence
Ensure Kafka platform stability, scalability, and performance while
continuously improving operational efficiency through automation and
infrastructure optimization.
Required Technical Skills
1.
Kafka Administration
Minimum 10 years of experience working with Apache Kafka or Confluent Kafka
administration in enterprise environments.
2.
Automation and Scripting
Strong experience with automation tools including Ansible, Terraform, GitOps
frameworks, Shell scripting, and Python.
3.
Container and Infrastructure Platforms
Hands on experience working with Kubernetes or OpenShift environments and Linux
based infrastructure.
4.
Monitoring and Observability
Experience implementing monitoring solutions using Prometheus, Grafana, and JMX
for Kafka ecosystem performance monitoring.
5.
Networking and Security
Strong understanding of secure network communication and authentication
mechanisms including TLS, Kerberos, SASL, RBAC, and ACL based security models.
6.
Independent Leadership
Ability to work independently as a lead Kafka administrator responsible for
automation driven platform management.
Essential Skills
1. Kafka cluster deployment and administration using Confluent Kafka platform.
2. Infrastructure automation using Ansible and Terraform.
3. Kafka platform deployment on Kubernetes using Confluent for Kubernetes.
4. Performance monitoring using Prometheus and Grafana.
5. Network performance tuning and troubleshooting.
Experience Required
1. 6 to 8 years of experience in enterprise Kafka platform administration and distributed data streaming environments.
2. Strong hands on experience managing production scale Kafka environments with automation driven infrastructure.
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Diksha Chaudhary |
E: diksha.c@noviainfotech.com |
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