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Datamatics Technologies

Senior Java Platform Support Engineer (Caching Systems)

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Job Title: Senior Java Platform Support Engineer (Caching Systems)
Experience: 5+ Years
Job Location: Islamabad (On-Site)


Role Summary

We are looking for a technically strong Distributed Cache Support Engineer to provide operational, technical, and production support for distributed caching solutions. The ideal candidate should have a strong Java background, prior experience with enterprise caching or in-memory data grid platforms, and hands-on exposure to DevOps and Kubernetes-based environments.

This role requires a hybrid profile combining Java backend engineering, distributed cache troubleshooting, performance analysis, and production support.

Key Responsibilities

Cache Platform Support

  • Provide L2/L3 support for Distributed Cache clusters and related application integrations.
  • Monitor cluster health, member status, partition distribution, memory utilization, latency, and throughput.
  • Support cache configuration, including distributed maps, Near Cache, eviction policies, TTL, backup count, serialization, and cluster discovery.
  • Troubleshoot cache-related incidents such as high latency, memory pressure, node restarts, split-brain scenarios, data inconsistency, and degraded performance.
  • Assist in capacity planning, performance tuning, and operational improvements for environments.
  • Coordinate with vendor support teams for product-level issues, patches, upgrades, and escalations.

Java / Application Support

  • Analyze Java application behavior related to distributed cache platform integration.
  • Troubleshoot JVM-level issues including heap usage, garbage collection, thread dumps, memory leaks, and serialization overhead.
  • Work with application teams to identify cache misuse, inefficient access patterns, and performance bottlenecks.
  • Support Spring Boot / Java microservices interacting with distributed cache platform.
  • Review and validate application-side configurations and integration patterns.

Monitoring, Incident & RCA Management

  • Monitor platform and application metrics using tools such as AppDynamics, Splunk, Prometheus, Grafana, ELK, or similar.
  • Participate in incident management, troubleshooting calls, war-room support, and issue triage.
  • Prepare root cause analysis reports for production incidents.
  • Recommend preventive actions, operational improvements, and automation opportunities.
  • Maintain runbooks, SOPs, known-error documents, and support knowledge base articles.

Required Skills & Experience

Mandatory Skills

  • Strong hands-on experience in Java backend development or Java platform support.
  • Good understanding of JVM internals, memory management, garbage collection, thread dumps, and heap analysis.
  • Prior experience with distributed caching or in-memory data grid solutions.
  • Hands-on experience with at least one of the following:
  • Hazelcast
  • Redis / Redis Cluster
  • Apache Ignite
  • Experience supporting applications in production or near-production environments.
  • Working knowledge of Kubernetes, containers, Linux, and basic networking.
  • Ability to analyze logs, metrics, alerts, and application behavior during incidents.
  • Strong troubleshooting, communication, and documentation skills.

Preferred Skills

  • Direct hands-on experience with distributed cache platform.
  • Understanding of:
  • Distributed maps
  • Near Cache
  • Eviction and expiry policies
  • Partitioning
  • Backup/replication
  • Split-brain protection
  • Serialization
  • Cluster discovery
  • Experience with Spring Boot and microservices architecture.
  • Experience with CI/CD tools such as Jenkins, GitLab CI, Azure DevOps, or similar.
  • Exposure to Anthos, OpenShift, or enterprise Kubernetes platforms.
  • Experience with AppDynamics, Splunk, Prometheus, Grafana, ELK, or similar observability tools.
  • Knowledge of TLS/mTLS, certificates, service mesh, and secure service communication.
  • Experience working in banking, telecom, or other mission-critical enterprise environments.

Minimum Qualification

  • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent experience.
  • 5+ years of experience in Java backend development, platform engineering, or production support.
  • 2+ years of experience with caching, distributed systems, Kubernetes, or DevOps-related operations.
  • Prior production support experience in enterprise environments.