Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)
No Travel Required
Skills
Configuration
installation
Apache Kafka
Kore AI
Job Details
Role: Kafka Administrator
Location: New York, NY
Duration: 6+ Months
A Kafka Administrator is responsible for the installation, configuration, management, and monitoring of Apache Kafka clusters, ensuring high availability, security, and optimal performance. They manage the Kafka environment, including brokers, topics, and partitions, and work with other teams to integrate Kafka with various systems.
Kafka Cluster Management: Installing, configuring, and maintaining Kafka clusters, including high availability and disaster recovery strategies.
Performance Optimization :Monitoring performance, identifying bottlenecks, and fine-tuning Kafka for optimal throughput and latency.
Security Management: Implementing and managing security configurations, including access control, authentication, and encryption.
Monitoring and Alerting: Setting up and maintaining monitoring and alerting systems to proactively identify and address issues.
Troubleshooting: Diagnosing and resolving issues within the Kafka ecosystem, including performance problems, connectivity issues, and data-related problems.
Integration: Collaborating with development and other teams to integrate Kafka with other systems and applications, including data ingestion and real-time data streaming.
Documentation: Creating and maintaining documentation for Kafka configurations, processes, and procedures.
Automation: Automating routine tasks and developing scripts to streamline cluster management.
Capacity Planning: Assessing current and future resource needs to ensure the Kafka environment can scale effectively.
Kore AI implementation in Kubernetes
A Kubernetes administrator is responsible for deploying, managing, and maintaining Kubernetes clusters. This includes tasks like cluster setup, configuration, troubleshooting, scaling, and ensuring high availability of applications running on the cluster. They also handle storage, networking, and security within the Kubernetes environment.
Person should be having the hands-on experience to implement the Kore AI in Kubernetes
Cluster Management: Setting up, configuring, and managing Kubernetes clusters, including both on-premises and cloud-based deployments.
Configuration & Deployment: Configuring cluster components, deploying applications, and managing their lifecycle.
Troubleshooting: Identifying and resolving issues related to cluster components, applications, networking, and storage.
Security: Implementing and maintaining security best practices for Kubernetes clusters and applications.
Monitoring & Logging: Monitoring cluster and application resource usage, and managing container output streams.
Storage Management: Configuring and managing persistent volumes and persistent volume claims.
Networking: Managing Kubernetes networking, including services and ingress.
Scaling: Scaling applications and resources within the cluster to meet changing demands.
Kafka Cluster Management: Installing, configuring, and maintaining Kafka clusters, including high availability and disaster recovery strategies.
Performance Optimization :Monitoring performance, identifying bottlenecks, and fine-tuning Kafka for optimal throughput and latency.
Security Management: Implementing and managing security configurations, including access control, authentication, and encryption.
Monitoring and Alerting: Setting up and maintaining monitoring and alerting systems to proactively identify and address issues.
Troubleshooting: Diagnosing and resolving issues within the Kafka ecosystem, including performance problems, connectivity issues, and data-related problems.
Integration: Collaborating with development and other teams to integrate Kafka with other systems and applications, including data ingestion and real-time data streaming.
Documentation: Creating and maintaining documentation for Kafka configurations, processes, and procedures.
Automation: Automating routine tasks and developing scripts to streamline cluster management.
Capacity Planning: Assessing current and future resource needs to ensure the Kafka environment can scale effectively.
Kore AI implementation in Kubernetes
A Kubernetes administrator is responsible for deploying, managing, and maintaining Kubernetes clusters. This includes tasks like cluster setup, configuration, troubleshooting, scaling, and ensuring high availability of applications running on the cluster. They also handle storage, networking, and security within the Kubernetes environment.
Person should be having the hands-on experience to implement the Kore AI in Kubernetes
Cluster Management: Setting up, configuring, and managing Kubernetes clusters, including both on-premises and cloud-based deployments.
Configuration & Deployment: Configuring cluster components, deploying applications, and managing their lifecycle.
Troubleshooting: Identifying and resolving issues related to cluster components, applications, networking, and storage.
Security: Implementing and maintaining security best practices for Kubernetes clusters and applications.
Monitoring & Logging: Monitoring cluster and application resource usage, and managing container output streams.
Storage Management: Configuring and managing persistent volumes and persistent volume claims.
Networking: Managing Kubernetes networking, including services and ingress.
Scaling: Scaling applications and resources within the cluster to meet changing demands.
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