Java Support Engineer (Distributed Cache)

About the role

A technically strong Distributed Cache and Java Support Engineer is sought to support distributed caching solutions and onboard Java and Spring Boot application use cases to the distributed-cache platform. The role combines hands-on Java development with practical enterprise distributed cache or in-memory data grid experience, focusing on cache use-case assessment and onboarding, Java integration support, distributed-cache troubleshooting and JVM diagnostics.

Key responsibilities

• Provide production support for distributed cache clusters and related Java application integrations
• Monitor cluster health, partition distribution, memory, latency, throughput, capacity and performance
• Support cache configuration and troubleshooting across distributed maps, Near Cache, eviction and expiry/TTL, partitioning, backup and replication, serialization and cluster discovery
• Diagnose cache-related incidents such as high latency, memory pressure, member restarts, split-brain conditions, data inconsistency and degraded performance
• Coordinate with application, infrastructure and vendor teams to investigate issues and drive technical resolution
• Review and modify Java or Spring Boot code needed to onboard application use cases
• Work with application teams to understand the use case, data model, access pattern, expected load and caching objectives
• Implement application-side cache integration changes and validate serialization, distributed maps, Near Cache, eviction/TTL and client configuration
• Troubleshoot JVM and application issues during onboarding, integration testing and production stabilization

Required profile

• Bachelor's degree in Computer Science, Software Engineering or Information Technology
• 7+ years of relevant experience in Java backend development, Java application support, distributed systems or closely related engineering work
• 3+ years of hands-on experience with distributed caching or in-memory data grid technologies with Java applications
• Good to have: production support experience in banking, telecom or other mission-critical environments, and basic exposure to Kubernetes, containers, Linux, networking, CI/CD and Splunk, AppDynamics or Hazelcast Management Center

Required skills

• Strong hands-on Java development, including writing and modifying Java code
• JVM troubleshooting: memory management, garbage collection, thread dumps, heap analysis and performance diagnosis
• Spring Boot development or application-support experience, including cache integration
• Hands-on experience with distributed caching or in-memory data grid platforms such as Redis, Hazelcast, Apache Ignite, Ehcache, Oracle Coherence, Infinispan, Memcached or comparable platforms (training provided on the selected platform)
• Understanding of distributed maps, Near Cache, eviction/expiry/TTL, partitioning, backup/replication, split-brain, serialization and cluster discovery