Technical Architect - Ecommerce Search
Tata Consultancy Services · Bengaluru, Karnataka, India - Chennai, Tamil Nadu, India - Pune, Maharashtra, India
Tata Consultancy Services · Bengaluru, Karnataka, India - Chennai, Tamil Nadu, India - Pune, Maharashtra, India
**Role:** Technical Architect - Ecommerce Search Exp: 10-18 years Locations: Chennai, Bengaluru, Hyderabad ,Pune, Kochi, Kolkata, NCR ,Delhi Virtual Interview:08-Aug-26 a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } We are seeking an experienced **Technical Architect - Ecommerce Search** to lead the design, architecture, and implementation of enterprise-scale ecommerce search solutions. The ideal candidate will have deep expertise in search technologies, distributed systems, cloud-native architectures, and large-scale digital commerce platforms. Key Responsibilities - Define and drive the architecture roadmap for ecommerce search platforms. - Design scalable, high-performance search solutions using **Elasticsearch, OpenSearch, Solr, or Lucene**. - Lead architecture discussions and provide technical leadership across development teams. - Define search relevance strategies, ranking models, indexing frameworks, and query optimization techniques. - Architect microservices-based solutions and integrate search capabilities with ecommerce platforms. - Collaborate with product owners, business stakeholders, and engineering teams to deliver scalable and reliable solutions. - Ensure system scalability, security, performance, and availability. - Mentor developers and conduct architecture reviews, design reviews, and code reviews. - Evaluate and recommend emerging technologies to improve search and customer experience capabilities. Required Skills - 10-18 years of IT experience with strong solution architecture expertise. - Hands-on experience with **Elasticsearch, OpenSearch, Solr, or Lucene**. - Strong knowledge of **Java, Spring Boot, Microservices, and REST APIs**. - Experience designing large-scale distributed systems. - Strong understanding of search indexing, relevance tuning, ranking algorithms, and performance optimization. - Experience with cloud platforms such as **AWS, Azure, or GCP**. - Exposure to Docker, Kubernetes, Kafka, and CI/CD practices. - Excellent problem-solving, stakeholder management, and communication skills. ***If you are interested in this opportunity and available to attend the virtual interview on 8th August, kindly apply at the earliest.*** ***Post receiving your application, I will connect with you for data collection and discuss the further steps in the hiring process***