Java Application Support Engineer (Spring Boot | Redis | Hazelcast)

Posted 7 Days Ago
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Islamabad, PAK
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Provides production support for distributed cache clusters and Java integrations. Assesses and onboards Spring Boot use cases, modifies Java code, troubleshoots cache configuration and distributed-system incidents, monitors cluster performance, and performs JVM diagnostics. The role collaborates with application, infrastructure, and vendor teams to resolve issues involving partitioning, replication, serialization, TTL, memory, latency, split-brain conditions, and application stabilization.
Summary Generated by Built In
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

  • Strong hands-on Java development experience, including the ability to write and modify Java code.
  • Strong JVM troubleshooting capability, including memory management, garbage collection, thread dumps, heap analysis, and performance diagnosis
  • Hands-on Spring Boot development or application-support experience, including cache integration or use-case onboarding
  • Hands-on experience with at least one distributed cache or in-memory data grid platform: Hazelcast, Redis / Redis Cluster, Apache Ignite, or a comparable platform
  • Strong understanding of distributed maps, Near Cache, eviction/expiry/TTL, partitioning, backup/replication, split-brain, serialization, and cluster discovery
Good to Have
  • Production application support in banking, telecom, or another mission-critical environment, including incident triage, root cause analysis, and documentation
  • Basic support-level exposure to Kubernetes, containers, Linux, networking, and optionally Anthos or OpenShift; deep platform expertise is not required
  • Familiarity with CI/CD processes and deployment-pipeline troubleshooting
  • Experience with Splunk, AppDynamics, or Hazelcast Management Center, plus basic TLS/mTLS and certificate troubleshooting

 

Skills Required

  • Bachelor's degree in computer science, software engineering, information technology, or a related field
  • 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 used with Java applications
  • Strong hands-on Java development experience, including writing and modifying Java code
  • Strong JVM troubleshooting skills, including memory management, garbage collection, thread dumps, heap analysis, and performance diagnosis
  • Hands-on Spring Boot development or application-support experience, including cache integration or use-case onboarding
  • Hands-on experience with Hazelcast, Redis or Redis Cluster, Apache Ignite, or a comparable distributed-cache platform
  • Strong understanding of distributed maps, Near Cache, eviction and expiry/TTL, partitioning, backup and replication, split-brain, serialization, and cluster discovery
  • Production application support in banking, telecom, or another mission-critical environment, including incident triage, root cause analysis, and documentation
  • Basic support-level exposure to Kubernetes, containers, Linux, networking, Anthos, or OpenShift
  • Familiarity with CI/CD processes and deployment-pipeline troubleshooting
  • Experience with Splunk, AppDynamics, or Hazelcast Management Center, plus basic TLS/mTLS and certificate troubleshooting

Datamatics Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.

  • Flexible Benefits Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
  • Wellbeing & Lifestyle Benefits Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.

Datamatics Technologies Insights

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The Company
Dubai
65 Employees
Year Founded: 2016

What We Do

Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.

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