Kafka Admin

Experience: 8+ years (including 5+ years hands-on with Apache Kafka platform engineering)

Key Responsibilities

• Manage Kafka cluster lifecycle: provisioning, configuration tuning, upgrades, and decommissioning

• Deploy, operate, and maintain Kafka on Kubernetes using Confluent for Kubernetes (CFK)

• Monitor cluster health and set up alerting across consumer lag, broker health, and topic throughput

• Design and operate disaster recovery and multi-region replication strategies

• Enforce Kafka security policies including access reviews and ACL management

• Troubleshoot performance bottlenecks, consumer lag issues, and broker failures

Must Have

• 8+ years in messaging/streaming platform engineering, with 5+ years on Apache Kafka platform engineering

• Hands-on administration of self-managed on-premises Kafka clusters in KRaft mode

• Confluent for Kubernetes (CFK): operator management and custom resource configuration

• Kafka Connect: connector lifecycle, SMTs, and error handling

• Confluent Schema Registry; schema evolution and compatibility modes

• Kafka security: TLS/mTLS, SASL, and ACL configuration and troubleshooting

• Proficiency in Java or Scala; Python for scripting and tooling

• Observability: Prometheus, Grafana, and OpenTelemetry

Good to Have

• Apache Flink for complex event processing beyond Kafka Streams

• CDC pipelines into Kafka

• Operational experience with MirrorMaker 2 or Confluent Replicator in multi-DC setups

• Knowledge of event-driven architecture or data mesh principles

• Build and maintain infrastructure-as-code for Kafka resources

• Integrate Kafka platform changes with CI/CD pipelines for topic and schema deployments

Role Overview

We are looking for a Senior and Lead Java Backend Engineer with strong experience in Apache Kafka and Kafka Streams, along with Java, Spring Boot, and Microservices. The candidate will build and support scalable, event-driven backend applications and work with containerization and cloud technologies.

Required Skills

Java

Spring Boot

Microservices architecture

Apache Kafka — topics, partitions, producers, consumers, and message-processing guarantees

Kafka Streams — stream processing, joins, windowing, and stateful aggregations

Docker

Kubernetes

AWS

Key Responsibilities

Develop and maintain backend services using Java, Spring Boot, and Microservices.

Build and support event-driven applications using Apache Kafka and Kafka Streams.

Design and maintain Kafka topics, partitions, producers, and consumers based on application needs.

Implement stream-processing logic, including joins, windowing, and aggregations.

Troubleshoot performance, reliability, and message-processing issues in distributed applications.

Package and deploy applications using Docker and Kubernetes, and support deployments on AWS.

Collaborate with engineering teams to deliver reliable, scalable backend solutions.

This job is Remote India only