11 Kafka Security Jobs

We’re seeking a skilled Confluent Kafka Administrator/Engineer with 3+ years of experience managing Kafka clusters, ensuring high availability, implementing security & automation, supporting cloud-native data integration and production environments.

Role & responsibilities Kafka Engineer Work mode - Hybrid Location - Bangalore/ Pune 7+ years experience with Apache Kafka - designing and owning solutions, troubleshooting. Please share your updated profile to puneet@mounttalent.com

You will be responsible for designing, implementing, and maintaining scalable event-streaming architectures that support real-time data. Your duties will include designing, building, and managing Kafka clusters using Confluent Platform and Kafka Cloud services (AWS MSK, Confluent Cloud). You will also be involved in developing and maintaining Kafka topics, schemas (Avro/Protobuf), and connectors for data ingestion and processing pipelines. Monitoring and ensuring the reliability, scalability, and security of Kafka infrastructure will be crucial aspects of your role. Collaboration with application and data engineering teams to integrate Kafka with other AWS-based services (e.g., Lambda, S3, E...

Job Description: Standing up and administer on premise Kafka cluster. Ability to architect and create reference architecture for kafka Implementation standards Provide expertise in Kafka brokers, zookeepers, Kafka connect, schema registry, KSQL, Rest proxy and Kafka Control center. Ensure optimum performance, high availability and stability of solutions. Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices. Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms. Provide administration and operations of the Kafka platform like provisioning, access lists Kerberos ...

Job Title: Confluent CDC System Analyst Role Overview: A leading bank in the UAE is seeking an experienced Confluent Change Data Capture (CDC) System Analyst/ Tech lead to implement real-time data streaming solutions. The role involves implementing robust CDC frameworks using Confluent Kafka , ensuring seamless data integration between core banking systems and analytics platforms. The ideal candidate will have deep expertise in event-driven architectures, CDC technologies, and cloud-based data solutions . Key Responsibilities: Implement Confluent Kafka-based CDC solutions to support real-time data movement across banking systems. Implement event-driven and microservices-based data solutions ...

Develop and maintain Kafka-based data pipelines for real-time processing. Implement Kafka producer and consumer applications for efficient data flow. Optimize Kafka clusters for performance, scalability, and reliability. Design and manage Grafana dashboards for monitoring Kafka metrics. Integrate Grafana with Elasticsearch, or other data sources. Set up alerting mechanisms in Grafana for Kafka system health monitoring. Collaborate with DevOps, data engineers, and software teams. Ensure security and compliance in Kafka and Grafana implementations. Requirements: 8+ years of experience in configuring Kafka, ElasticSearch and Grafana Strong understanding of Apache Kafka architecture and Grafana ...

Manage end-to-end activities including installation, configuring & maintenance of Kafka clusters, managing topics configured in Kafka, ensuring maximum uptime of Kafka. Monitor performance of producer & consumer threads interacting with Kafka. Required Candidate profile Kafka Certification Must have hands-on experience in managing large Kafka clusters and installations Ability to monitor performance of producer consumer threads interacting with Kafka.

Roles & Responsibilities: Design, build, and manage Kafka clusters using Confluent Platform and Kafka Cloud services (AWS MSK, Confluent Cloud) . Develop and maintain Kafka topics, schemas (Avro/Protobuf), and connectors for data ingestion and processing pipelines. Monitor and ensure the reliability, scalability, and security of Kafka infrastructure. Collaborate with application and data engineering teams to integrate Kafka with other AWS-based services (e.g., Lambda, S3, EC2, Redshift). Implement and manage Kafka Connect , Kafka Streams , and ksqlDB where applicable. Optimize Kafka performance, troubleshoot issues, and manage incident response. Preferred candidate profile 4-6 years of exper...

7+ years’ experience (3+ in Kafka – Apache, Confluent, MSK – & RabbitMQ) with strong skills in monitoring, optimization, and incident resolution. Proficient in brokers, connectors, Zookeeper/KRaft, schema registry, and middleware performance metrics.

Job Summary: We are looking for an experienced Kafka Administrator to manage, monitor, and optimize our Apache Kafka infrastructure. The ideal candidate will ensure high availability, security, scalability, and performance of Kafka clusters, supporting our real-time data streaming needs. Key Responsibilities: Install, configure, and maintain Apache Kafka clusters in production and non-production environments. Monitor cluster health, performance, and capacity using tools like Prometheus, Grafana, or Confluent Control Center. Perform troubleshooting, root cause analysis, and issue resolution for Kafka-related incidents. Manage Kafka topics, partitions, brokers, and consumer groups. Implement a...

Experience Required : 10+ years overall, with 5+ years in Kafka infrastructure management and operations. Must have successfully deployed and maintained Kafka clusters in production environments, with proven experience in securing, monitoring, and scaling Kafka for enterprise-grade data streaming. Overview : We are seeking an experienced Kafka Administrator to lead the deployment, configuration, and operational management of Apache Kafka clusters supporting real-time data ingestion pipelines. The role involves ensuring secure, scalable, and highly available Kafka infrastructure for streaming flow records into centralized data platforms. Role & responsibilities Architect and deploy Apache Kaf...