Job Description:
Experienced in setting up the configuration, security, and monitoring of Confluent Kafka components: brokers, zookeeper, control center, schema registry, and connect clusters.
Experienced in the development of infrastructure solutions for publisher/consumer tenants, enabling robust multi-tenant cloud services.
Experience in Microsoft Azure / Google Cloud Platform (GCP)
Experienced in Dot Net tech stack
RESTful services
Micro services Architecture
Windows console apps and Services
Proficient in SQL and PostgreSQL Database
Hands-on experience on CI/CD tools (Azure DevOps, GitHub)
Hands-on experience on terraform scripting, building pipelines and releases
Hands-on experience of DynaTrace & Splunk
Proficiency in Kubernetes.
Roles & Responsibilities
Set up and configure Kafka clusters, components like brokers, zookeeper, control center, schema registry, and connect clusters.
Monitor cluster health and performance.
Create, delete, and configure Kafka topics.
Manage broker configurations and ensure high availability.
Diagnosing and resolve issues related to data flow, broker failures, and consumer lag.
Integrate Kafka with other systems/services (e.g., Azure/GCP services, restful APIs, databases, microservices etc).
Provide support for Kafka-related issues in production. (Azure DevOps / GitHub). Experience working in agile development projects and sprint delivery
Individual contributor and problem solver.
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.