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Kafka Engineer - Cloud Services

Volantis Technologies
Multiple Locations
6 - 11 Years

Posted on: 08/12/2025

Job Description

Job Title : Kafka Engineer


Experience : 6- 11 yrs


Location : Hyderabad or Bangalore (WFO-24-7 Shift)


Job Summary :


We are seeking an experienced Kafka Engineer with hands-on expertise in Confluent Kafka, Kafka on Cloud (MSK or Confluent Cloud), and strong proficiency in AWS services. The ideal candidate will be responsible for designing, implementing, and maintaining scalable event-streaming architectures that support our real-time data needs.


Role and 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.


Required Skills :


- 5- 8 years of experience working with Apache Kafka and Confluent Kafka.


- Strong knowledge of Kafka internals (brokers, zookeepers, partitions, replication, offsets).


- Experience with Kafka Connect, Schema Registry, REST Proxy, and Kafka security.


- Hands-on experience with AWS (EC2, IAM, Cloud Watch, S3, Lambda, VPC, Load balancers).


- Proficiency in scripting and automation using Terraform, Ansible, or similar tools.


- Familiarity with DevOps practices and tools (CI/CD pipelines, monitoring tools like Prometheus/Grafana, Splunk, Datadog etc).


- Experience with containerization (Docker, Kubernetes) is a plus.


Nice to Have :


- Confluent Certified Developer or Administrator.


- AWS Certified


- CICD (AWS Code Pipeline, Harness)


- Containers ( Docker, Kubernetes)


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