Description:

Own the messaging backbone of Innovaccer's on-premise platform: Kafka and Schema Registry on OpenShift via Strimzi.
Redesign integrations from cloud queue services to self-hosted brokers, ensuring reliability at scale.
Build shared client patterns and libraries for messaging, including retries and dead-letter queues.
Integrate messaging with the platform's function runtime through KEDA-driven scaling.
Manage capacity planning for the messaging tier and monitor broker health.

Requirements:

B.E., B.Tech., M.Sc. in Computer Science or related field.
5+ years of backend or data infrastructure experience with significant Kafka ownership.
Experience running Kafka on Kubernetes (Strimzi preferred) and managing schema evolution.
Hands-on experience with additional broker technologies (RabbitMQ, ActiveMQ, NATS).
Strong understanding of messaging semantics and professional development experience in Java, Python, or Go.
Experience with KEDA or event-driven autoscaling is a plus.

Skills