Ravindra Sharma

Staff or Principal Engineer and system architect with a deep foundation in designing, building, and operating high scale backend platforms at Walmart and eBay. Combines decades of distributed systems expertise spanning custom search retrieval engines, real time analytics platforms, and retail catalogs with proven experience driving organization wide architectural strategy and platform reliability. Core technical foundation in Java, C++, Spring Boot, distributed data processing, low latency search retrieval, real time streaming, and cloud infrastructure.

Specialized in architecting low latency search retrieval services, high throughput catalog engines, real time behavioral data pipelines, and integrating modern AI and ML capabilities into high volume enterprise platforms. Target roles focus directly on complex backend engineering implementation, platform architecture, AI tech modernization, performance tuning, and technical execution across large engineering organizations.

Senior Engineering Manager (II) at WALMART GLOBAL TECH (2019-01 – 2026-04)

Hands-on Technical leader and architect for large-scale catalog, inventory, analytics, and platform initiatives supporting Walmart's retail ecosystem.

• Global Omni-Channel Catalog Engine (GOI)
• Architected and drove development of a unified omni-item catalog platform across Canada, Mexico, Central America, and Chile, enabling consistent catalog capabilities across international markets.
• Translated complex multi-market catalog requirements into scalable platform architecture, reusable services, and production-ready engineering solutions.
• Helped reduce catalog onboarding time by 30% while improving data quality and consistency across markets.
• Drove technical design and implementation across engineering, product, program, and business organizations involving 60+ cross-functional stakeholders.
• Retail Catalog Rules Engine (Imperium)
• Architected and built an in-house retail catalog rules engine from the ground up, providing a reusable platform for complex catalog business rules and transformations.
• Designed the platform for extensibility and reuse, enabling adoption by 40+ engineering teams across the organization.
• Established technical architecture, core platform capabilities, integration patterns, and production deployment practices.
• Guided platform evolution based on performance, reliability, and downstream engineering requirements.
• Real - Time Analytics Platform (Midas)
• Architected and built a near-real-time OLAP analytics platform using ClickHouse and incremental aggregation, combining streaming and batch processing for large-scale retail analytics.
• Designed data-processing and aggregation architectures to support low-latency analytical workloads across high-volume retail data.
• Integrated real-time streaming and batch pipelines to provide consistent analytical views across multiple data sources.
• Onboarded 15+ strategic use cases spanning Marketplace, Inventory, Order Management, and Supply Chain.
• Focused on scalability, query performance, production reliability, and platform adoption.
• Catalog Engineering & Retail Platforms
• Designed and delivered catalog capabilities supporting wireless postpaid smartphones, including carrier-specific offerings such as AT&T.
• Developed catalog capabilities supporting Home Services, including bundling services with large-ticket products.
• Applied distributed-system and platform-engineering principles to translate complex retail workflows into reusable software capabilities.
• Worked across multiple retail domains to identify opportunities for platform reuse, automation, and improved engineering efficiency.

Sr. Engineering Manager at EBAY INC. (2015-03 – 2019-01)

• Real-Time Pricing & Competitive Insights
• Architected and led development of a message-driven platform processing marketplace and competitive web data to generate pricing guidance and competitive insights.
• Designed systems supporting key e-commerce workflows including competitive inventory identification, inventory-gap detection, and daily-deal discovery.
• Applied machine-learning and data-science techniques including clustering, cosine similarity, matching, scoring, and prioritization to derive actionable competitive signals.
• Built scalable data-processing workflows to transform large volumes of marketplace and external data into pricing and merchandising insights.
• Engineering team received an eBay pillar-level Innovation in Data Science award.

Principal Software Engineer at EBAY INC. (2009-06 – 2015-03)

• eBay Search Science / Cassini
• Led development of search-ranking capabilities for eBay's large-scale Cassini search engine, one of the company's core e-commerce search platforms.
• Contributed to the machine-learning ranking platform from the ground up, designing and evaluating approaches for improving search relevance and result quality.
• Developed ranking approaches using multiple relevance signals, including product pricing and behavioral signals, and evaluated their effectiveness through production A/B testing.
• Worked on techniques to improve search relevance while reducing clutter and improving the overall shopping experience.
• Used experimentation and quantitative analysis to connect search-quality improvements with measurable business outcomes.
• Received two business-impact awards for search initiatives that generated significant revenue growth.
• User Generated Content
• Contributed to platforms supporting product reviews and buying guides, helping customers make better purchasing decisions.
• Designed and implemented backend capabilities supporting large-scale user-generated content and e-commerce experiences.
• Presented technical work at the eBay Research Lab, receiving recognition through a poster presentation.

Lead S/W Engineer at AUDITUDE (Acquired by Adobe) (2008-03 – 2009-06)

• Designed and implemented backend systems for an early-stage video advertising platform focused on video clipping management and video search.
• Developed search and backend capabilities in a startup environment, working across product requirements, architecture, implementation, and production delivery.

Co-founder at STEALTH MODE STARTUP (2007-05 – 2008-03)

• Co-founded an early-stage startup developing a social-sharing product, leading hands-on efforts across product architecture, software development, and user-centric design.

Staff Software Engineer at EBAY INC. (2002-11 – 2007-05)

• Search Engine / Backend - Voyager
• Contributed to the development of eBay's early shopping experience and e-commerce search infrastructure.
• Designed and built a custom high-performance Shopping Behavioral Data Search Engine, an in-house Redis-like service for storing and retrieving compressed behavioral data at scale.
• Designed storage and retrieval mechanisms for large volumes of compressed behavioral data while maintaining searchability and high-performance access.
• Developed backend capabilities supporting behavioral-data-driven shopping experiences and search functionality.
• Contributed to deployment automation and search-index management for cloud-based search infrastructure.
• Supported zero-downtime deployment capabilities for search nodes and indexing infrastructure.
• Shopping Experience
• Led development of backend and application capabilities supporting eBay's Shopping Experience.
• Designed and implemented multiple features spanning shopping workflows, backend services, and e-commerce application infrastructure.

Bachelor of Engineering - BE in Computer Science & Engineering – National Institute of Technology, Trichy, Tamilnadu, INDIA