Senior Solutions Engineer

QualityKiosk Technologies is a leading independent Quality Engineering (QE) provider and digital transformation enabler, assisting companies in developing and managing applications to ensure optimal performance and user experience. Established in 2000, the organization specializes in quality engineering, QA automation, performance assurance, intelligent automation (IA), robotic process automation (RPA), customer experience management, site reliability engineering (SRE), digital testing as a service (DTaaS), cloud, and data analytics solutions. Operating across 25+ countries with a workforce exceeding 4000 employees, QualityKiosk Technologies empowers prominent banking, e-commerce, automotive, telecom, insurance, OTT, entertainment, pharmaceuticals, and BFSI brands to achieve their business transformation objectives. The company has been recognized by renowned global advisory firms such as Forrester, Gartner, The Everest Group, and Hurun Report for its innovative quality assurance solutions and the positive impact on clients in the dynamic digital landscape. QualityKiosk Technologies serves 50 of the Indian Fortune 100 companies and 18 of the global Fortune 500 companies and aims for significant growth in revenues and workforce over the next five years through speed of execution and technological advancement. Key Responsibilities: - Design, implement, and optimize Elasticsearch clusters and associated applications. - Develop fault-tolerant search architectures to support large-scale data. - Troubleshoot performance and reliability issues in Elasticsearch environments. - Integrate Elasticsearch with tools like Logstash, Kibana, Beats, etc. - Implement advanced search features including auto-complete, aggregations, and fuzziness. - Manage data pipelines, ingest, index, and transform data in Elasticsearch. - Monitor, optimize, and ensure the health of Elasticsearch clusters and services. - Conduct capacity planning and scalability testing for search infrastructure. - Establish high availability and disaster recovery strategies for Elasticsearch clusters. - Collaborate with software engineers, data engineers, and DevOps teams for seamless deployment and integration. - Document solutions, configurations, and best practices. - Stay abreast of Elastic Stack features and apply them to enhance existing systems. - Mentor junior team members to develop their skills and readiness for responsibilities. Required Skills & Qualifications: - Experience: 3 years of hands-on experience with Elasticsearch and its ecosystem (Elasticsearch, Kibana, Logstash, Fleet server, Elastic agents, Beats). - Core Technologies: Strong expertise in Elasticsearch, including cluster setup, configuration, and optimization. - Search Architecture: Proficiency in designing scalable search architectures and managing large datasets.,