Java Application Support Engineer (Spring Boot | Redis | Hazel cast)

Work Mode: Onsite Job Description We are seeking a technically strong Distributed Cache & Java Support Engineer to support distributed caching solutions and onboard Java and Spring Boot application use cases to the distributed-cache platform. The candidate will combine hands-on Java development with practical enterprise distributed cache or in-memory data grid experience. The role focuses 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 including high latency, memory pressure, member restarts, split-brain conditions, data inconsistency, and degraded performance. • Coordinate with application, infrastructure, and vendor support teams to investigate issues and drive technical resolution. • Review and modify Java or Spring Boot code required to onboard application use cases to the distributed-cache platform. • 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 encountered during onboarding, integration testing, and production stabilization. Minimum Qualification & Experience • Bachelor's degree in computer science, Software Engineering, or Information Technology. • 5+ years of relevant experience in Java backend development, Java application support, distributed systems, or closely related engineering work. • 2+ years of hands-on experience with distributed caching or in-memory data grid technologies in conjunction with Java applications. Must Have Strong hands-on Java development experience, including the ability to write and modify Java code. Strong JVM troubleshooting capability, including memory management, garbage collection, thread dumps, heap analysis, and performance diagnosis Hands-on Spring Boot development or application-support experience, including cache integration or use-case onboarding Hands-on experience with at least one distributed cache or in-memory data grid platform: Hazelcast, Redis / Redis Cluster, Apache Ignite, or a comparable platform Strong understanding of distributed maps, Near Cache, eviction/expiry/TTL, partitioning, backup/replication, split-brain, serialization, and cluster discovery Good to Have Production application support in banking, telecom, or another mission-critical environment, including incident triage, root cause analysis, and documentation Basic support-level exposure to Kubernetes, containers, Linux, networking, and optionally Anthos or OpenShift; deep platform expertise is not required Familiarity with CI/CD processes and deployment-pipeline troubleshooting Experience with Splunk, AppDynamics, or Hazelcast Management Center, plus basic TLS/mTLS and certificate troubleshooting