Distributed Cache & DevOps Engineer

About the role

We are seeking a technically strong Distributed Cache & DevOps Engineer to provide operational, technical, and production support for enterprise caching solutions. The role blends Java backend engineering, distributed cache troubleshooting, and Kubernetes‑based platform operations.

Key responsibilities

• Provide L2/L3 support for Hazelcast, Redis/Redis Cluster, and Apache Ignite cache clusters, monitoring health, memory, latency and throughput.
• Configure distributed maps, Near Cache, eviction policies, TTL, backup count, serialization and cluster discovery.
• Troubleshoot cache incidents such as high latency, memory pressure, node restarts, split‑brain, and data inconsistency.
• Analyze Java application behavior, JVM heap usage, garbage collection, thread dumps, and serialization overhead.
• Support Spring Boot microservices integration with cache platforms and validate application‑side configurations.
• Deploy and manage cache platforms on Kubernetes, handling pods, services, configmaps, secrets, stateful workloads and CI/CD pipelines.
• Monitor metrics using AppDynamics, Splunk, Prometheus, Grafana, ELK and participate in incident management and RCA reporting.
• Maintain runbooks, SOPs, known‑error documents and drive automation improvements.

Required profile

• Strong Java development background.
• Hands‑on experience with enterprise caching or in‑memory data grid platforms (Hazelcast, Redis, Apache Ignite).
• Practical exposure to DevOps practices and Kubernetes container orchestration.

Required skills

• Hazelcast
• Redis / Redis Cluster
• Apache Ignite
• Java (including Spring Boot)
• Kubernetes
• CI/CD pipelines
• Monitoring tools: AppDynamics, Splunk, Prometheus, Grafana, ELK
• TLS/mTLS certificate handling