Java Support Engineer (Distributed Cache )

We are looking for a technically proficient Distributed Cache & Java Support Engineer to join our team. This role involves supporting distributed caching solutions and onboarding Java and Spring Boot applications onto our distributed-cache platform. The ideal candidate will have a strong background in Java development combined with practical experience in enterprise distributed caching or in-memory data grid technologies. The position emphasizes cache use-case assessment, Java integration support, 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 such as partition distribution, memory usage, latency, throughput, capacity, and overall performance.
- Support configuration and troubleshooting of cache features including distributed maps, Near Cache, eviction and expiry/TTL policies, partitioning, backup and replication, serialization, and cluster discovery.
- Diagnose and resolve cache-related incidents such as high latency, memory pressure, member restarts, split-brain scenarios, data inconsistencies, and degraded system performance.
- 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.
- Work closely with application teams to understand their use cases, data models, access patterns, expected load, and caching objectives.
- Implement application-side cache integration changes, validating serialization, distributed maps, Near Cache, eviction/TTL settings, and client configurations.
- 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 effectively.
- Proficient in JVM troubleshooting techniques such as memory management, garbage collection analysis, thread dumps, heap analysis, and performance diagnostics.
- Experience with Spring Boot development or application support, particularly in cache integration or use-case onboarding.
- 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.)
- Solid understanding of distributed maps, Near Cache, eviction/expiry/TTL mechanisms, partitioning, backup/replication strategies, split-brain resolution, serialization, and cluster discovery processes.

Preferred Qualifications and Additional Skills

- 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 environments; deep expertise is not mandatory.
- Familiarity with CI/CD pipelines and deployment troubleshooting.
- Experience using monitoring and management tools such as Splunk, AppDynamics, or Hazelcast Management Center.
- Basic knowledge of TLS/mTLS protocols and certificate troubleshooting.

This role offers the opportunity to work in a dynamic environment supporting critical distributed caching infrastructure and Java applications, contributing to high-performance, scalable enterprise solutions.