Distributed Cache & DevOps Engineer

Role Title : Distributed Cache & DevOps Engineer
Must Have : Hazelcast , Redis / Redis Cluster, Apache Ignite

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.