Role Title : Distributed Cache & DevOps Engineer
Must Have : Hazelcast , Redis / Redis Cluster, Apache Ignite
Location - Onsite - Islamabad
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, platform operations, 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.
DevOps / Kubernetes Operations
- Support distributed cache platform deployments running on Kubernetes or containerized environments.
- Work with Kubernetes objects such as pods, services, namespaces, configmaps, secrets, deployments, and stateful workloads.
- Analyze pod restarts, resource limits, liveness/readiness probe failures, service discovery issues, and container logs.
- Support configuration management and deployment activities through CI/CD pipelines.
- Assist with TLS/mTLS certificate-related troubleshooting where applicable.
- Work with infrastructure and platform teams on network, DNS, storage, compute, and security-related issues.
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.
Skills Required
- Strong hands-on experience in Java backend development or Java platform support
- Prior experience with distributed caching or in-memory data grid solutions
- Hands-on experience with Hazelcast, Redis, or Apache Ignite
- Working knowledge of Kubernetes, containers, and basic networking
- 5+ years of experience in Java backend development, platform engineering, or production support
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.
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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.
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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
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.
