Lead Confluent Kafka EngineerRole Overview

We are seeking a highly skilled

Lead Confluent Kafka Engineer

to oversee the implementation, administration, and operational support of

Apache Kafka and Confluent Platform

environments. The ideal candidate will possess strong hands-on expertise in

Kafka, Java, Spring Boot, Linux, security, troubleshooting, and data streaming technologies

, ensuring the delivery of secure, scalable, and highly available messaging platforms.

Position Information

• Job Title: Lead Confluent Kafka Engineer
• Employment Type: Full-Time
• Work Arrangement: Onsite
• Location: Islamabad
• Experience Required: 5-10 Years
• Education: Bachelor's degree or higher in Computer Science, Information Technology, Engineering, or a related discipline

Key Responsibilities

• Install, configure, administer, and support

  Apache Kafka / Confluent Platform

  across Development, UAT, and Production environments
• Manage

  Kafka cluster setup

  , including broker configuration, topic management, partitioning, replication strategies, retention policies, and capacity planning
• Execute Kafka upgrades, patch deployments, rolling restarts, configuration updates, and cluster scaling activities while maintaining production stability
• Deploy and maintain Kafka ecosystem components including

  Schema Registry, Kafka Connect, Control Center, and related services

• Investigate and resolve production issues related to broker performance, partitions, ISR, replication, consumer lag, latency, throughput, storage utilization, and connectivity
• Configure and maintain Kafka security controls, including

  TLS/mTLS, SASL authentication, ACLs, certificates, keystores, and truststores

• Support and troubleshoot

  Java/Spring Boot Kafka applications

  , including producer and consumer integrations
• Collaborate with application, infrastructure, DevOps, and security teams to onboard new Kafka workloads and drive successful environment promotions
• Contribute to

  CI/CD processes

  , deployment automation, release management, and configuration control for Kafka platforms and applications
• Conduct regular health monitoring, performance optimization, capacity forecasting, incident response, and root cause analysis activities
• Create and maintain operational documentation, deployment guidelines, configuration standards, disaster recovery procedures, and runbooks
• Support high availability, backup and recovery operations, disaster recovery strategies, and multi-cluster replication architectures where required

Required Skills & Experience

• Proven hands-on experience supporting

  Apache Kafka / Confluent Platform in production environments

• Strong understanding of

  Kafka architecture

  , including brokers, partitions, replication, ISR, consumer groups, offsets, retention policies, and delivery guarantees
• Experience with

  Kafka installation, configuration, upgrades, patch management, and ongoing operational support

• Strong development and integration experience using

  Java and Spring Boot

  for Kafka-based applications
• Solid expertise in Linux administration, networking, JVM performance, production troubleshooting, and operational support
• Experience implementing and managing

  Kafka security

  , including

  TLS/mTLS, SASL, ACLs, and certificate management

• Hands-on experience with

  Confluent Kafka

  solutions
• Practical experience working with

  data streaming platforms and real-time event-driven architectures

Preferred Skills

• Experience with

  Kubernetes, OpenShift, Anthos, Helm, and containerized Kafka deployments

• Familiarity with

  Kafka Connect, Schema Registry, and Confluent Control Center

• Experience working with

  CI/CD platforms

  such as

  Jenkins, GitLab CI, Azure DevOps

  , or similar tools
• Monitoring and observability experience using

  Splunk, AppDynamics, Prometheus, Grafana, or Confluent monitoring solutions

• Knowledge of Kafka disaster recovery (DR), multi-cluster deployments, replication strategies, and migration projects
• Experience supporting Kafka environments within

  banking, telecommunications, or other business-critical enterprise domains