Java Support Engineer Distributed Cache

Datamatics Technologies; Pakistan; On-site; PKR 2,000,000 - 4,200,000; Full time

Job summary

Datamatics Technologies is 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.

You will combine hands-on Java development with practical enterprise distributed cache experience, focusing on cache onboarding, Java integration, JVM diagnostics, and performance troubleshooting across clusters.

Qualifications

• 7+ years of Java backend development and application support.
• 3+ years of distributed caching / in-memory data grid with Java.
• Bachelor's degree in CS/Software Engineering/IT.
• Strong Java development and Spring Boot experience.

Responsibilities

• Provide production support for distributed cache clusters and related Java application integrations.
• Monitor cache health, memory, latency, throughput and capacity.
• Support cache configuration and troubleshooting for distributed maps, Near Cache, eviction/TTL, partitioning, backup and replication.

Skills

Java backend development

JVM troubleshooting

Spring Boot

CI/CD processes

Kubernetes

Education

Bachelor's degree in Computer Science / Software Engineering / Information Technology

Tools

Redis

Hazelcast

Apache Ignite

Ehcache

Oracle Coherence

Infinispan

Memcached

Job description

Job Description:

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

• Bachelors 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

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.

Requirements: