JD:
• 6+ years of hands-on experience with Java 8+ and strong proficiency in Spring Boot framework.
• Solid understanding of microservices architecture.
• 6+ years of experience with relational databases (SQL Server, Postgres).
• 6+ years of industry experience with AWS or similar cloud platforms (e.g., Google Cloud Platform, Azure, Pivotal Cloud Foundry, OpenShift), including familiarity with services like S3, Lambda, EC2, RDS, Load Balancing, Istio Service Mesh, and API Gateway.
• Experience with Docker, Kubernetes and other containerization technologies.
• Advanced Kafka Expertise: Proven ability to design, implement, and manage Kafka-based solutions, specifically:
• Crafting Kafka topics, producers, and consumers for diverse use cases such as event sourcing, log aggregation, and real-time analytics.
• Optimizing Kafka performance through effective serialization, batching, partitioning strategies, and consumer group management.
• Troubleshooting and monitoring Kafka clusters in production environments.
• A deep understanding of Kafka's core characteristics: durability, scalability, fault tolerance, and security best practices (including authentication, authorization, and encryption).
Specific feedbacks: having ownership and lead mindset; as the position is remote/hybrid, person should be ready to come to video call at least few times in a week.
Tools:
Java Springboot, JPA, Apache CXF, Tibco, Kafka, MSSQL Server, Postgres, Couchbase, Redis, Docker, Kubernetes, Jenkins, Stash, Jira.
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