Java Support Engineer

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Java Support Engineer in Others

Datamatics Technologies
Full time
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Others
09/07/2026
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Lahore, Pakistan

Responsibilities

Provide production support for distributed cache clusters and Java application integrations.
Monitor cluster health, partition distribution, memory, latency, throughput, capacity, and performance.
Troubleshoot distributed-cache configuration and incidents, including 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 resolution.
Modify Java and Spring Boot code to onboard application use cases to the distributed-cache platform.
Assess application use cases, data models, access patterns, expected loads, and caching objectives.
Implement and validate cache integrations involving distributed maps, Near Cache, eviction or TTL, serialization, and client configuration.
Troubleshoot JVM and application issues during onboarding, integration testing, and production stabilization.
Perform incident triage, root cause analysis, and technical documentation in mission-critical environments.

Requirements

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.
At least 2 years of hands-on experience with distributed caching or in-memory data grid technologies used with Java applications.
Strong hands-on Java development skills, including the ability to write and modify Java code.
Strong JVM troubleshooting skills covering memory management, garbage collection, thread dumps, heap analysis, and performance diagnosis.
Hands-on Spring Boot development or application-support experience involving cache integration or use-case onboarding.
Experience with a distributed caching or in-memory data grid technology such as Redis, Hazelcast, Apache Ignite, Ehcache, Oracle Coherence, Infinispan, or Memcached.
Strong understanding of distributed maps, Near Cache, eviction or expiry/TTL, partitioning, backup and replication, split-brain, serialization, and cluster discovery.
Production application support experience in banking, telecom, or other mission-critical environments is preferred.
Basic support-level exposure to Kubernetes, containers, Linux, networking, Anthos or OpenShift, CI/CD troubleshooting, Splunk, AppDynamics, Hazelcast Management Center, and TLS/mTLS certificate troubleshooting is preferred.

Benefits

Onsite work arrangement.
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.
Structured knowledge transfer and the opportunity to build expertise in enterprise distributed caching platforms.

Datamatics Technologies

Datamatics Technologies delivers innovative technology solutions that empower businesses to transform operations, enhance customer experiences, and drive sustainable growth. By combining advanced analytics, automation, and industry expertise, the company helps clients navigate digital change with...

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