Redis & Elastic Stack Engineer (Senior)

We are looking for a Senior Redis & Elastic Stack Engineer to join mission-critical infrastructure and enterprise data platform projects.

This role requires strong hands-on expertise in Redis, Elasticsearch, and distributed systems administration, with a focus on scalability, observability, reliability, and performance optimization. The engineer will play a key role in managing high-volume environments, improving platform resilience, and supporting operational excellence initiatives.

Responsibilities

• Lead the administration and optimization of Redis and Elasticsearch infrastructures
  
• Design, configure, and maintain distributed Redis and Elasticsearch clusters
  
• Manage Elastic Stack solutions including Kibana, Logstash, Beats, and Elastic Agent/Fleet
  
• Perform advanced troubleshooting and performance tuning
  
• Implement automation and DataOps best practices
  
• Support containerized environments using Docker and Kubernetes
  
• Optimize indexing, search performance, and data lifecycle management
  
• Contribute to platform scalability, resilience, and monitoring strategies
  
• Produce technical documentation and operational guidelines
  
• Collaborate with infrastructure, DevOps, and engineering teams on critical projects
  

Requirements

• Strong experience with Redis and Elasticsearch administration
  
• Advanced knowledge of Redis Cluster, Redis Sentinel, sharding, and replication
  
• Experience with performance tuning and optimization in distributed systems
  
• Solid understanding of Elastic Stack and observability tools
  
• Experience with Docker, Kubernetes, and automation practices
  
• Python, Java, or shell scripting knowledge
  
• SQL and Elasticsearch DSL experience
  
• Experience working with large-scale or mission-critical environments
  

Nice to Have

• Redis Modules experience (RedisJSON, RediSearch, RedisTimeSeries)
  
• Experience with MongoDB, Cassandra, or Couchbase
  
• Relevant Elastic/NoSQL certifications
  
• Background in enterprise-scale infrastructure operations