Define and enforce standards for deployment, monitoring, and operations of messaging infrastructure across all regions via automation
Mentor and guide junior engineers on integration patterns, geo-distribution strategies, and best practices
What technical skills, experience, and qualifications are required?
Strong hands-on expertise in event-driven Architecture (EDA) and middleware messaging integration design patterns
Proven experience with middleware messaging technologies including Apache Kafka, RabbitMQ, IBM MQ, ActiveMQ, and/or similar platforms
Solid experience with streaming-based integrations (e.g., Kafka Streams, Stream Native, Red Panda or equivalent)
Experienced in cloud-native messaging services (AWS SNS/SQS, Azure Service Bus, GCP Pub/Sub) and multi-region cloud deployments
Experienced in containerized deployments (Kubernetes, Docker) for messaging platforms across multi-cluster, multi-region setups
Demonstrated hands-on experience designing and deploying messaging platforms across multiple data centers and geographic regions
Expertise in geo-replication, cross-datacenter mirroring, and regional routing strategies for messaging workloads
Proven ability to Engineer solutions that sustain high message volumes with predictable, low-latency performance
Demonstrated ability to design and deploy solutions with high availability (HA), fault tolerance, and redundancy
Experience deploying and managing components in clustered environments
Proficiency in designing for high-volume, low-latency, and resilient messaging Architectures
10-12 years of industry experience, with middleware messaging integration roles
Nice to Have
Implements and manage solutions across all environments using automation and infrastructure-as-code practices
Hands-on experience integrating API Management platforms with middleware messaging systems
Experience with observability platforms such as Elastic for monitoring and insights
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