· Minimum 1 full and complete implementation of Amazon Elastic Search. · Experience in migrating from Splunk to ELS would be added advantage. · Design and implement highly scalable ELK (ElasticSearch, Logstash, and Kibana) stack solutions · Experience with configuring Elasticsearch security using PKI and LDAP groups · Experience in implementing, configuring and performance tuning large clusters and Nodes · Experience with building solutions for Java and Spring · Experience with design and implementation of ELK stack solutions, including Elasticsearch, Logstash, and Kibana · Experience with designing and upgrading DevOps CI/CD pipelines using Ansible, GitLab, Jenkins, Test automation and deployment scheduling and reports · Experience with Elastic Stack ecosystem for Metadata services, centralized log monitoring, notifications, system metrics, application health and performance monitors · Elasticsearch and Logstash performance and configuration tuning · Architecting data structures using Elastic Search · Design, development, administration, and delivery of Elastic Search / ELK based reporting solutions. Build reports using APIs that leverage ElasticSearch. · Analyze and improve application performance while searching for simple and robust solutions to complex tasks · Proficient in elastic query for data analysis · Should have experience in AWS VPC · Agile/Scrum project development. · Strong problem-solving skills required. · Knowledge on Splunk. · Experience on ElastiCache is Nice to have. · AWS Cloud Architecture certification would be added advantage |