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Junior Kafka Engineer

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Onsite

Junior Kafka Engineer

Datamatics Global Services Ltd

Junior Kafka Engineer

Skills

DockerJavaSpring BootKafkaGitLabJenkinsGrafanaSplunkPrometheusLinuxKubernetesAppDynamicsAzure

22 days ago

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Important information


Contract type:

Permanent

Location:

Lahore, Punjab, Pakistan

Work mode:

Onsite

Published on:

5 October 2026

What they need


Job Title: Junior Kafka Engineer
Employment Type: Full-Time
Work Arrangement: Onsite
Location: Islamabad
Experience Required: Minimum 3 years
Education: Minimum Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a relevant field

Responsibilities

  • Support the deployment, configuration, and maintenance of Apache Kafka / Confluent Platform across development, UAT, and production environments.
  • Assist with Kafka cluster provisioning, broker configuration, topic creation, partitioning, replication, retention, and capacity management.
  • Support Kafka upgrades, patches, rolling restarts, configuration changes, and cluster expansion under guidance from senior engineers.
  • Support Kafka components including Schema Registry, Kafka Connect, Confluent Control Center, and related services.
  • Monitor and troubleshoot Kafka issues involving brokers, partitions, ISR, replication, consumer lag, throughput, latency, storage, and connectivity.
  • Support Kafka security configurations including TLS/mTLS, SASL, ACLs, certificates, keystores, and truststores.
  • Assist with Java/Spring Boot Kafka application deployments, including producer and consumer configuration and integration troubleshooting.
  • Work with application, DevOps, infrastructure, and security teams to onboard Kafka use cases and promote changes across environments.
  • Support CI/CD pipelines, deployment automation, configuration management, and release activities for Kafka and Kafka-based applications.
  • Perform routine health checks, monitoring, performance analysis, incident troubleshooting, and root-cause analysis with support from senior team members.
  • Maintain operational documentation, deployment procedures, configuration standards, troubleshooting guides, and runbooks.
  • Support high availability, disaster recovery, backup/restore, and multi-cluster replication activities where applicable.
  • Participate in production support and assist with resolving Kafka-related incidents.
  • Monitor Kafka environments and proactively identify issues related to performance, availability, storage, and consumer lag.

Must-Have Skills

  • Minimum 3 years of relevant IT/software engineering experience, with hands-on exposure to Apache Kafka / Confluent Platform.
  • Hands-on experience working with Apache Kafka in development or production environments.
  • Good understanding of Kafka architecture, including brokers, topics, partitions, replication, ISR, consumer groups, producers, consumers, offsets, retention, and delivery semantics.
  • Experience with Kafka deployment, configuration, administration, monitoring, and operational maintenance.
  • Hands-on knowledge of Java and Spring Boot, particularly for Kafka producer and consumer integrations.
  • Good working knowledge of Linux, networking fundamentals, JVM concepts, troubleshooting, and production support.
  • Understanding or hands-on experience with Kafka security, including TLS/mTLS, SASL, ACLs, certificates, keystores, and truststores.
  • Experience working with Confluent Kafka / Confluent Platform.
  • Understanding of real-time data streaming and event-driven architectures.
  • Ability to troubleshoot basic Kafka issues involving consumer lag, broker connectivity, partitions, replication, offsets, and application integrations.

Good-to-Have Skills

  • Exposure to Kubernetes, OpenShift, Anthos, Helm, or containerized Kafka deployments.
  • Experience or familiarity with Kafka Connect, Schema Registry, and Confluent Control Center.
  • CI/CD exposure using Jenkins, GitLab CI, Azure DevOps, or equivalent tools.
  • Monitoring experience using tools such as Splunk, AppDynamics, Prometheus, Grafana, or Confluent monitoring tools.
  • Understanding of Kafka disaster recovery, multi-cluster architectures, replication, and migration activities.
  • Experience working with Kafka in banking, telecom, financial services, or other mission-critical environments.
  • Exposure to Docker and containerized applications.
  • Basic understanding of capacity planning, performance tuning, and Kafka cluster monitoring.

RBtD33063W

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