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.
- 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 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 any distributed caching or in-memory data grid technology such as Redis, Hazelcast, Apache Ignite, Ehcache, Oracle Coherence, Infinispan, Memcached, or comparable platforms. Training will be provided on the selected 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 experience in banking, telecom, or other mission-critical environments, 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 Hazel cast Management Center, plus basic TLS/mTLS and certificate troubleshooting.
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