Datamatics Technologies

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.