DevOps Engineer (Apache Kafka/Confluent Kafka)

Full Time 

Others

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Job Description
  • Experience in architecting a highly resilient Apache Kafka/Confluent Kafka infrastructure and deep dive knowledge in Kafka to handle enterprise Production support.
  • Strong hands-on experience in administrative configurations, deployment of Kafka components and troubleshooting.
  • Experience in handling Upgrade, Migration, Cluster replication of Kafka clusters.
  • Experience in creating stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms.
  • Familiar with delivery semantics, ability to guide the developers on interfacing with Kafka and publishing events.
  • Expertise and hands-on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, JMS source connectors.
  • Working knowledge on Kafka brokers, Zoo Keeper, Schema registry, Streams, KSQL.
  • Experience in building monitoring around Kafka infrastructure using JMX exporters and Grafana. Familiar with PromQL and dashboarding.
  • Ability to perform data related bench marking, performance analysis and tuning.
  • Experience in Linux platform, Java application deployments, CI/CD pipeline, Jenkins and Ansible.
  • Familiar with security requirements, fixing vulnerabilities, implementing TLS/SSL, knowledge in reverse proxy.
  • Prefer to have development experience in Java and knowledge of micro service architecture.
  • Knowledge in middleware infrastructure like IBM MQ, AMQ would be ideal.
  • Self-driven, strong, committed, and reliable team player. Ability to contribute to discussions on design and strategy. Good written and oral communication skills.


A DevOps Engineer works with developers and the IT staff to oversee the code releases, combining an understanding of both engineering and coding. From creating and implementing systems software to analyzing data to improve existing ones, a DevOps Engineer increases productivity in the workplace. They understand the software development lifecycle and have a clear understanding of various automation tools for developing digital pipelines (CI/ CD pipelines).
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