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Salary
≈ $30k – $52k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 8+ years exp

First seen by Alion on Sep 24, 2026. WAISL LIMITED scores B on the Alion truth index.

Overview
Company
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Profile match
Looking to build intelligent, future-ready ecosystems? WAISL delivers agile tech across industries. Learn more about our world-class solutions today.

Job Description:

Primary Role Responsibilities :

- Design, implement, and manage Kafka-based data pipelines and messaging solutions to support critical business operations and enable real-time data processing.

- Configure, deploy, and maintain Kafka clusters, ensuring high availability and scalability to maximize uptime and support business growth.

- Monitor Kafka performance and troubleshoot issues to minimize downtime and ensure uninterrupted data flow, enhancing decision-making and operational efficiency.

- Collaborate with development teams to integrate Kafka into applications and services.

- Develop and maintain Kafka connectors such as JDBC, MongoDB, and S3 connectors, along with topics and schemas, to streamline data ingestion from databases, NoSQL data stores, and cloud storage, enabling faster data insights.

- Implement security measures to protect Kafka clusters and data streams, safeguarding sensitive information and maintaining regulatory compliance.

- Optimize Kafka configurations for performance, reliability, and scalability.

- Automate Kafka cluster operations using infrastructure-as-code tools like Terraform or Ansible to increase operational efficiency and reduce manual overhead.

- Provide technical support and guidance on Kafka best practices to development and operations teams, enhancing their ability to deliver reliable, high-performance applications.

- Maintain documentation of Kafka environments, configurations, and processes to ensure knowledge transfer, compliance, and smooth team collaboration.

- Stay updated with the latest Kafka features, updates, and industry best practices to continuously improve data infrastructure and stay ahead of industry trends.

Required Soft Skills:

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration skills.

- Ability to translate business requirements into technical solutions.

Working Experience and Qualification:

- Education: Bachelor's or master's degree in computer science, Information Technology or related field.

- Experience: Proven experience of 8 - 10 years as a Kafka Architect or in a similar role.

Skills:

- Strong knowledge of Kafka architecture, including brokers, topics, partitions and replicas.

- Experience with Kafka security, including SSL, SASL, and ACLs.

- Proficiency in configuring, deploying, and managing Kafka clusters in cloud and on-premises environments.

- Experience with Kafka stream processing using tools like Kafka Streams, KSQL, or Apache Flink.

- Solid understanding of distributed systems, data streaming and messaging patterns.

- Proficiency in Java, Scala, or Python for Kafka-related development tasks.

- Familiarity with DevOps practices, including CI/CD pipelines, monitoring, and logging.

- Experience with tools like Zookeeper, Schema Registry, and Kafka Connect.

- Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed environment.

- Experience with cloud platforms like AWS, Azure, or GCP.

Preferred Skills:

- Kafka certification or related credentials, such as: Confluent Certified Administrator for Apache Kafka (CCAAK), Cloudera Certified Administrator for Apache Kafka (CCA-131), AWS Certified Data Analytics Specialty.

- Knowledge of containerization technologies like Docker and Kubernetes.

- Familiarity with other messaging systems like RabbitMQ or Apache Pulsar.

- Experience with data serialization formats like Avro, Protobuf, or JSON.

Skills

Integration Architecture, Kafka, Solution Design, Solution Implementation, Data Pipeline, Data Integration, System Configuration, Python, Scala, Apache Flink, Integration Tools

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