Posted:1 week ago|
Platform:
Work from Office
Full Time
• Deep understanding of Apache Kafka and its ecosystem: Schema Registry, Kafka Connect, Kafka Streams, Kafka client libraries, and Spark Structured Streaming.
• Experience in building event-driven applications using Kafka, Azure Event Hubs, Azure Service Bus, Event Grid, and Azure Stream Analytics. • Strong knowledge of event-driven microservices design.
• Hands on experience with Confluent Kafka is an added advantage. Cloud & Infrastructure
• Strong experience with Azure cloud services, including Azure Functions, App Service, Kubernetes Service (AKS), OpenShift, Databricks, and Stream Analytics.
• Deep understanding of Kubernetes, Docker, and containerized application deployments.
• Solid knowledge of enterprise networking, private networking, and network topologies. Programming & Software Engineering
• Proficiency in Java, C#, JavaScript, or Python (with in-depth knowledge of at least one).
• Strong understanding of software design patterns for distributed systems.
• Knowledge of REST API and WebSocket-based designs. Automation & DevOps
• Experience with Infrastructure-as-Code (Terraform, Helm, Bash).
• Strong understanding of CI/CD frameworks such as GitHub Actions, Azure Pipelines, or similar.
• Experience with debugging distributed applications and implementing logging, monitoring, and observability.
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