ELK Developer

As an ELK Developer at QualityKiosk Technologies Pvt. Ltd. for the Saudi location, your role will involve designing, implementing, and optimizing Elasticsearch clusters and associated applications. You will be responsible for developing fault-tolerant search architectures to support large-scale data. Troubleshooting performance and reliability issues within Elasticsearch environments will also be a key part of your responsibilities. Additionally, you will integrate Elasticsearch with tools like Logstash, Kibana, Beats, and implement search features such as auto-complete, aggregations, fuzziness, and advanced search functionalities. Key Responsibilities: - Design, implement, and optimize Elasticsearch clusters and associated applications. - Develop and maintain scalable and fault-tolerant search architectures to support large-scale data. - Troubleshoot performance and reliability issues within Elasticsearch environments. - Integrate Elasticsearch with other tools like Logstash, Kibana, Beats, etc. - Implement search features such as auto-complete, aggregations, fuzziness, and advanced search functionalities. - Manage Elasticsearch data pipelines and work on data ingest, indexing, and transformation. - Monitor, optimize, and ensure the health of Elasticsearch clusters and associated services. - Conduct capacity planning and scalability testing for search infrastructure. - Ensure high availability and disaster recovery strategies for Elasticsearch clusters. - Collaborate with software engineers, data engineers, and DevOps teams to ensure smooth deployment and integration. - Document solutions, configurations, and best practices. - Stay updated on new features and functionalities of the Elastic Stack and apply them to enhance existing systems. - Grooming of freshers and junior team members to enable them to take up responsibilities Qualifications Required: - Experience: 5+ years of hands-on experience with Elasticsearch and its ecosystem (Elasticsearch, Kibana, Logstash, Fleet server, Elastic agents, Beats). - Core Technologies: Strong experience with Elasticsearch, including cluster setup, configuration, and optimization. - Search Architecture: Experience designing and maintaining scalable search architectures and handling large datasets. (Note: No additional details about the company were present in the provided job description.),