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Redis & Elastic Stack Engineer (Senior)

Job description

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


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