Java Application Support Engineer (Spring Boot | Redis | Hazelcast)
Datamatics Technologies4 hours ago
Islamabad, PakistanSenior
Responsibilities
- Provide production support for distributed-cache clusters and related Java application integrations.
- Monitor cluster health, partition distribution, memory, latency, throughput, capacity, and performance.
- Troubleshoot distributed maps, Near Cache, eviction and expiry/TTL, partitioning, backup and replication, serialization, and cluster discovery.
- Diagnose cache 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 and Spring Boot code to onboard application use cases to the distributed-cache platform.
- Assess application use cases, data models, access patterns, expected load, and caching objectives with application teams.
- Implement and validate application-side cache integration changes, including serialization, distributed maps, Near Cache, eviction/TTL, and client configuration.
- Troubleshoot JVM and application issues during onboarding, integration testing, and production stabilization.
Requirements
- 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 used with Java applications.
- Strong hands-on Java development skills, including the ability to write and modify Java code.
- Strong JVM troubleshooting skills covering memory management, garbage collection, thread dumps, heap analysis, and performance diagnosis.
- Hands-on Spring Boot development or application-support experience involving cache integration or use-case onboarding.
- Hands-on experience with Hazelcast, Redis/Redis Cluster, Apache Ignite, or a comparable distributed-cache or in-memory data-grid platform.
- Strong understanding of distributed maps, Near Cache, eviction/expiry/TTL, partitioning, backup/replication, split-brain, serialization, and cluster discovery.
- Preferred experience supporting production applications in banking, telecom, or other mission-critical environments, including incident triage, root cause analysis, and documentation.
- Basic support-level exposure to Kubernetes, containers, Linux, networking, Anthos or OpenShift, CI/CD processes, deployment-pipeline troubleshooting, Splunk, AppDynamics, Hazelcast Management Center, and TLS/mTLS certificate troubleshooting.
Benefits
- Onsite work mode.
- No additional benefits or compensation details are stated.
Tech Stack
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