Java Support Engineer (Distributed Cache )

We are looking for a technically skilled Distributed Cache & Java Support Engineer to manage and support distributed caching solutions, as well as onboard Java and Spring Boot applications onto the distributed-cache platform. This role requires a blend of hands-on Java development expertise and practical experience with enterprise distributed cache or in-memory data grid technologies. The engineer will focus on assessing cache use cases, supporting Java integration, troubleshooting distributed cache environments, and performing JVM diagnostics to ensure optimal performance.

Key Responsibilities

- Provide production support for distributed cache clusters and their integration with Java applications.
- Monitor cluster health metrics including partition distribution, memory usage, latency, throughput, capacity, and overall performance.
- Configure and troubleshoot cache components such as distributed maps, Near Cache, eviction and expiry/TTL policies, partitioning, backup and replication, serialization, and cluster discovery.
- Diagnose and resolve cache-related incidents, including high latency, memory pressure, member restarts, split-brain scenarios, data inconsistencies, and performance degradation.
- Collaborate with application teams, infrastructure groups, and vendor support to investigate issues and drive timely technical resolutions.
- Review and modify Java or Spring Boot code to onboard new application use cases onto the distributed-cache platform effectively.
- Work closely with application teams to understand use cases, data models, access patterns, expected loads, and caching objectives.
- Implement application-side cache integration changes and validate configurations related to serialization, distributed maps, Near Cache, eviction/TTL, and client settings.
- Troubleshoot JVM and application issues encountered during onboarding, integration testing, and production stabilization phases.

Required Qualifications

- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
- Minimum of 7 years of relevant experience in Java backend development, Java application support, distributed systems, or closely related engineering roles.
- At least 3 years of hands-on experience working with distributed caching or in-memory data grid technologies alongside Java applications.
- Strong hands-on Java development skills, including the ability to write and modify Java code efficiently.
- Proficient in JVM troubleshooting techniques such as memory management, garbage collection analysis, thread dumps, heap analysis, and performance tuning.
- Experience with Spring Boot development or application support, particularly in cache integration or onboarding use cases.
- Practical experience with distributed caching or in-memory data grid platforms such as Redis, Hazelcast, Apache Ignite, Ehcache, Oracle Coherence, Infinispan, Memcached, or similar technologies. Training will be provided on the selected platform.
- Deep understanding of distributed cache concepts including distributed maps, Near Cache, eviction/expiry/TTL, partitioning, backup/replication, split-brain resolution, serialization, and cluster discovery mechanisms.

Preferred Qualifications and Benefits

- Experience supporting production applications in mission-critical environments such as banking or telecommunications, including incident triage, root cause analysis, and documentation.
- Basic exposure to Kubernetes, containerization, Linux, networking, and optionally Anthos or OpenShift, without requiring deep platform expertise.
- Familiarity with CI/CD pipelines and deployment troubleshooting processes.
- Experience using monitoring and management tools such as Splunk, AppDynamics, or Hazelcast Management Center.
- Basic knowledge of TLS/mTLS and certificate troubleshooting is advantageous.

This role offers the opportunity to work in a dynamic environment supporting critical distributed caching infrastructure and Java applications, contributing to the stability and scalability of enterprise systems.