Job Description

Experience : 6+ Yrs Role and Responsibilities: - Part of team providing scale, performance, and resilience of Elasticsearch/ Solr systems - Own how cluster communication, data indexation, allocated, and replication across nodes - Ensure the stability of build and continuous integration systems - Develop the supporting testing infrastructure, tooling and automation - Drive Elasticsearch cloud deployment strategy - Responsible for performance or Concurrency Experience in following: - Elasticsearch/ Solr/ SolrCloud/ Apache Lucene/ ELK Stack (Logstash and Kibana) - Elastic Search files and architectures, native DSL - RESTful APIs/ JSON/ YML/ XML - Multiple server data distribution using index and shards and managing and scaling and rebalancing Elasticsearch clusters - NoSQL Database/ Java/ Apache Tika/ Apache Zookeeper/ Unix/ Linux - Java build tools (Gradle, Maven, Bazel etc) - Scaling log analytics/ Parallel SQL Interface and streaming expressions - Integration with enterprise applications implemented with big data ecosystem tools (Hadoop and Spark) - Custom analyzers, synonym-based indexing, stemming, and tokenization - Logging/ metrics/ tracing applications - OpenSearch, Prometheus, OpenTelemetry - CI/CD systems and practices (Buildkite, Argo CD, GitOps etc) - Container runtimes (Docker), orchestration (Kubernetes) Qualifications: Any relevant technical degree, B.E./ B.Tech./ MCA, etc.