Datamatics Technologies

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

1. Strong hands-on Java development experience, including the ability to write and modify Java code.
2. Strong JVM troubleshooting capability, including memory management, garbage collection, thread dumps, heap analysis, and performance diagnosis.
3. Hands-on Spring Boot development or application-support experience, including cache integration or use-case onboarding.
4. 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.
5. Strong understanding of distributed maps, Near Cache, eviction/expiry/TTL, partitioning, backup/replication, split-brain, serialization, and cluster discovery.

Good to Have

1. Production application support experience in banking, telecom, or other mission-critical environments, including incident triage, root cause analysis, and documentation.
2. Basic support-level exposure to Kubernetes, containers, Linux, networking, and optionally Anthos or OpenShift; deep platform expertise is not required.
3. Familiarity with CI/CD processes and deployment-pipeline troubleshooting.
4. Experience with Splunk, AppDynamics, or Hazel cast Management Center, plus basic TLS/mTLS and certificate troubleshooting.

Why Join Us

• Opportunity to work on enterprise-scale distributed caching platforms supporting mission-critical applications.
• Exposure to modern distributed systems, microservices, and high-performance application architectures.
• Collaboration with architecture, development, platform, and infrastructure teams on strategic technology initiatives.
• Opportunity to build expertise in enterprise distributed caching platforms through hands-on experience and structured knowledge transfer.