Senior Kafka Engineer

We are looking for a Senior Kafka Lead/Senior Kafka Engineer with strong hands-on experience in Apache Kafka implementation, development, integration, and production support. The role will be responsible for developing and supporting scalable, real-time event-streaming solutions on Azure, with integrations across SQL databases, . NET applications, Salesforce, and MDM platforms. The ideal candidate should have strong technical expertise in Kafka, experience working on enterprise integration solutions, and the ability to lead technical discussions and collaborate with application, data, cloud, and integration teams.

Responsibilities:

• Design, develop, implement, and support Kafka-based real-time streaming solutions on Azure.
• Configure and manage Kafka topics, partitions, producers, consumers, consumer groups, offsets, replication, and related components.
• Develop and maintain integrations between Kafka and SQL databases, . NET applications, Salesforce, and MDM platforms.
• Troubleshoot Kafka-related production issues and ensure high availability, reliability, and performance.
• Monitor Kafka environments and perform performance tuning, capacity planning, and optimization.
• Implement Kafka best practices related to security, scalability, fault tolerance, and high availability.
• Work closely with application, data, cloud, and integration teams to deliver end-to-end solutions.
• Participate in production support, incident management, root-cause analysis, and resolution of complex technical issues.
• Lead technical discussions and provide technical guidance to team members.
• Support solution design and recommend appropriate event-streaming and integration approaches based on business and technical requirements.

Requirements:

• Strong hands-on experience with Apache Kafka.
• Proven experience in Kafka implementation, development, configuration, and troubleshooting.
• Strong understanding of Kafka architecture, including topics, partitions, producers, consumers, consumer groups, replication, and offsets.
• Experience with Azure Cloud.
• Experience integrating Kafka with one or more of the following: SQL / SQL Server, . NET / C# applications, Salesforce, and MDM (Master Data Management) platforms.
• Experience with real-time/event-driven integration solutions.
• Strong production support and troubleshooting experience.
• Good understanding of Kafka security, monitoring, performance tuning, scalability, and high availability.
• Strong communication and collaboration skills.
• Ability to lead technical discussions and mentor or guide team members.

Good to Have:

• Experience with MuleSoft / Anypoint Platform.
• Knowledge of API-led connectivity and REST API integrations.
• Experience working with multiple enterprise integration platforms.
• Experience in designing and implementing hybrid integration solutions involving Kafka, APIs, and cloud platforms.

Preferred Profile:

• Candidates with strong Kafka + Azure + Enterprise Integration experience will be preferred.
• Experience with MuleSoft will be an added advantage but is not mandatory.
• The candidate should be hands-on, technically strong, and capable of taking ownership of Kafka implementations while working effectively with cross-functional teams.