IN Person Interview-Mandatory No Virtual-Kafka with Kubernetes

Innova Solutions; Hyderabad, Pune District, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Innova Solutions is seeking a Data Platform Engineer to configure and support Kafka ecosystems, including brokers, ZooKeeper, and Schema Registry. You will monitor health and performance via Confluent Control Center, and deploy components using Terraform for scalable infrastructure.

You will build CI/CD workflows with GitHub Actions, troubleshoot Kubernetes deployments, and analyze pod logs to resolve issues, ensuring reliable platform operations for data pipelines.

Qualifications

• Experience configuring and supporting Kafka ecosystem components.
• Strong understanding of Kafka architecture and platform operations.
• Experience deploying Kafka with Terraform.
• Experience building CI/CD workflows for Kafka deployments.
• Troubleshooting Kubernetes deployments and pod issues.

Responsibilities

• Configure and support Kafka ecosystem components (brokers, ZooKeeper, Schema Registry, Kafka Connect).
• Monitor Kafka health, performance, and observability.
• Deploy Kafka components using Terraform modules for scalable infra.
• Build and maintain CI/CD workflows for Kafka deployments with GitHub Actions.
• Troubleshoot Kubernetes deployments and pod errors; analyze logs to resolve issues.

Skills

Kafka

Kubernetes

Data Platform

Architectural Knowledge

Kafka Architecture

Observability

Tools

Terraform

GitHub Actions

Confluent Control Center

Kafka Connect

Job description

Description:

Configured and supported Kafka ecosystem components, including brokers, ZooKeeper, KRaft, Schema Registry, and Kafka Connect, with a strong understanding of Kafka architecture and platform operations.

Monitored Kafka platform health, performance, and observability through Confluent Control Center.

Deployed Kafka components using Terraform modules and resources, enabling standardized and scalable infrastructure provisioning.

Built and supported CI/CD workflows using GitHub Actions for Kafka deployments, improving deployment consistency and automation.

Troubleshooted Kafka components deployed in Kubernetes environments.

Understood and investigated Kubernetes pod errors to identify deployment and runtime issues.

Analyzed pod logs to diagnose failures and support issue resolution.

Built working knowledge of core Kubernetes components and their role in application deployment and operations

Must To Have Skill:- Data Platform engineering role

Engineering Knowledge, Architectural knowledge

Configuration of Kafka components

Confident control center, Terraform. Role & responsibilities