Senior Solutions Engineer

About QualityKiosk Technologies

QualityKiosk Technologies is one of the world's largest independent Quality Engineering (QE) providers and digital transformation enablers, helping companies build and manage applications for optimal performance and user experience. Founded in 2000, the company specializes in providing quality engineering, QA automation, performance assurance, intelligent automation (IA) and robotic process automation (RPA), customer experience management, site reliability engineering (SRE), digital testing as a service (DTaaS), cloud, and data analytics solutions and services. With operations spread across 25+ countries and a workforce of more than 4000 employees, the organization enables some of the leading banking, e-commerce, automotive, telecom, insurance, OTT, entertainment, pharmaceuticals, and BFSI brands to achieve their business transformation goals. QualityKiosk Technologies has been featured in renowned global advisory firms' reports, including Forrester, Gartner, The Everest Group, and Hurun Report, for its innovative, IP-led quality assurance solutions and the positive impact it has created for its clients in the fast-changing digital landscape. QualityKiosk, which offers automated quality assurance solutions for clients across geographies and verticals, counts 50 of the Indian Fortune 100 companies and 18 of the global Fortune 500 companies as its key clients. The company is banking on its speed of execution and technology advancement as key factors to drive a 5X growth in the next five years, both in revenues and number of employees.

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

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 experience with Elasticsearch, including cluster setup, configuration, and optimization.

- Search Architecture: Experience designing and maintaining scalable search architectures and handling large datasets.