Senior Java Platform Support Engineer (Caching Systems)

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.