​Your responsibilities:

• Architect and design enterprise-scale e-commerce search platforms that support product discovery, navigation, personalization and merchandising strategies.

• Define search architecture standards, indexing strategies, ranking models, relevancy frameworks and search optimization approaches.

• Design and implement AI-powered search capabilities including semantic search, vector search, query understanding and personalized search experiences.

• Lead integrations between search platforms and product catalogues, inventory systems, customer data platforms, recommendation engines, and digital commerce ecosystems.

• Establish cloud-native architecture patterns ensuring scalability, resilience, security and operational excellence.

• Partner with business stakeholders, product teams and engineering teams to translate search and customer experience requirements into technical solutions.

• Drive technical governance, architecture reviews and engineering best practices across search platforms and services.

• Provide technical leadership and mentoring while driving continuous improvement in search relevance, performance and customer experience.

Your Profile

Key Responsibilities

• Define the enterprise architecture roadmap for digital commerce search and product discovery platforms.

• Lead the design and implementation of search, indexing and relevance strategies across large-scale retail systems.

• Develop scalable search solutions leveraging OpenSearch, Elasticsearch and AI-powered search technologies.

• Establish search observability, performance monitoring and operational governance frameworks.

• Drive search performance optimization, scalability planning and platform modernization initiatives.

• Lead architecture reviews, technical design workshops and solution governance activities.

• Support business growth through innovative search experiences that improve conversion, engagement and customer satisfaction.

Hands-on Skills Required – Technical Architect (Ecommerce Search)

• Strong experience designing and architecting large-scale e-commerce search platforms using OpenSearch, Elasticsearch or equivalent technologies.

• Expertise in search relevance tuning, ranking models, indexing strategies, faceted search and search analytics.

• Experience implementing semantic search, vector search, embeddings and AI-driven search capabilities.

• Strong understanding of distributed search architectures, performance optimization, scalability and resilience.

• Experience designing API-driven, microservices-based and event-driven architectures.

• Knowledge of cloud-native platforms, DevOps practices, infrastructure automation and containerized deployments.

• Ability to provide technical leadership, stakeholder engagement and architecture governance across complex enterprise programs.

Technologies

• Search Platforms: AWS OpenSearch, Elasticsearch, Apache Solr

• AI Search Technologies: Vector Search, Semantic Search, Embeddings, Relevance Models

• Programming Languages: Java, Kotlin, Python, JavaScript/TypeScript

• Frameworks: Spring Boot, React, Node.js

• Cloud Platforms: AWS, Azure

• Data & Messaging: Kafka, DynamoDB, Redis, S3

• Architecture: Microservices, Event-Driven Architecture, REST APIs

• DevOps & Automation: Terraform, Docker, Kubernetes, GitHub Actions

Observability: OpenSearch Dashboards, CloudWatch, Grafana, Prometheus