Offer summary

Qualifications:

Bachelor's degree in Computer Science or Software Engineering., 5+ years of experience with event-driven architecture and distributed systems., Hands-on expertise in Azure Service Bus, Event Grid, and Apache Kafka., Strong knowledge of .NET technologies and messaging patterns..

Key responsibilities:

Design and implement event-driven microservices using Azure Service Bus and Apache Kafka.

Build and deploy cloud-native .NET applications following CQRS and event sourcing principles.

Set up tracing, logging, and monitoring using various tools like Azure Monitor and Prometheus.

Enforce security and governance for messaging platforms and maintain technical documentation.

Job description

Requirements:

Bachelors degree in Computer Science, Software Engineering, or a related field.
5+ years of experience with event-driven architecture and distributed systems.
Hands-on expertise in Azure Service Bus, Event Grid, and Apache Kafka.
Strong knowledge of .NET technologies (C#, Web API).
Deep understanding of messaging patterns, CQRS, and event sourcing.
Proficiency with Kubernetes (AKS), Docker, and autoscaling via KEDA.
Experience implementing monitoring and observability in distributed environments.
Strong understanding of security in event-driven ecosystems.
Excellent problem-solving, communication, and collaboration skills.
Experience defining enterprise event taxonomies and schemas.
Ability to influence and mentor development teams in event-driven design.
Familiarity with Protobuf, Avro, or Kafka Schema Registry for contract validation.
Prior experience collaborating with product teams to drive system decoupling via events.
Background in championing reactive principles and guiding cross-functional teams.

Responsibilities:

Design and implement event-driven microservices using Azure Service Bus and Apache Kafka. Define domain and integration events.
Implement asynchronous communication patterns using topics, queues, partitions, and event routing via Azure Service Bus and Kafka.
Build and deploy cloud-native .NET applications following CQRS and event sourcing principles.
Configure, optimize, and monitor Kafka clusters. Utilize Azure Service Bus features such as dead-lettering, duplicate detection, and message sessions.
Set up tracing, logging, and monitoring using Azure Monitor, Kafka metrics, Prometheus, Grafana, and Application Insights.
Deploy services using Docker and Kubernetes (AKS), and autoscale workloads using KEDA. Collaborate with DevOps for seamless CI/CD pipelines.
Enforce security and governance for messaging platforms, including encryption, access control, audit logging, and schema validation.
Maintain technical documentation and mentor teams on event first design principles.
Support optimization of infrastructure usage and event processing pipelines for cost-effective scalability.
Identify ways to decouple systems and reduce latency or operational costs through better architecture and tooling.

Required profile