E-Commerce Architect
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Role details
Tech stack
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Job description
We are seeking an experienced Ecommerce Architect to lead the design and evolution of our next-generation digital commerce platform supporting both B2B and B2C experiences across Web, Mobile, and API-driven ecosystems.
This role requires a forward-thinking architect who can combine modern commerce architecture (headless/composable) with an AI-first mindset, leveraging emerging technologies such as Generative AI, Agentic workflows, and real-time personalization to drive business outcomes.
Responsibilities
· Define and drive end-to-end architecture for scalable, high-performance eCommerce platforms.
· Design composable / headless commerce architectures leveraging API-first and microservices principles.
· Translate business requirements into scalable, extensible technical blueprints.
· Establish domain-driven design and bounded contexts across commerce capabilities (catalog, pricing, checkout, fulfillment, etc.).
AI & Innovation Leadership
- Define and implement AI-driven capabilities such as:
Product recommendations & personalization
Intelligent search & discovery
Conversational commerce (chat/voice agents)
Agentic workflows (AI-driven automation across systems)
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Embed GenAI into SDLC (code generation, test automation, documentation, debugging).
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Partner with data teams to enable real-time decisioning using behavioral and transactional data.
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Evaluate and integrate AI platforms (Azure OpenAI, vector databases, LLM orchestration frameworks).
Integration & Ecosystem
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Architect integrations with ERP (Agility / similar), PIM (InRiver or equivalent), CMS (Contentful or headless CMS), Search (Klevu or equivalent), Payment gateways & fraud systems, and Fulfillment & logistics systems.
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Design event-driven architectures using streaming or messaging platforms.
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Enable API-first platform strategy to support internal and external consumers.
Performance, Scalability & Reliability
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Design systems optimized for high traffic and peak season readiness, low latency and strong Core Web Vitals, and high availability and fault tolerance.
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Establish caching, CDN, and edge delivery strategies.
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Define observability strategy (monitoring, logging, tracing).
Cloud & DevOps
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Lead architecture on Azure cloud ecosystem including Azure App Services, Functions, Storage, CDN, and Cosmos DB.
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Define CI/CD, infrastructure-as-code, and DevOps best practices.
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Ensure secure, compliant, and scalable cloud-native deployments.
Cloud & DevOps
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Lead architecture on Azure cloud ecosystem including Azure App Services, Functions, Storage, CDN, and Cosmos DB.
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Define CI/CD, infrastructure-as-code, and DevOps best practices.
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Ensure secure, compliant, and scalable cloud-native deployments.
Requirements
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10+ years of experience in software engineering with significant experience in eCommerce platforms.
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Strong experience in headless / composable commerce architectures, API-first and microservices design.
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Expertise in modern web technologies: React, Next.js, Node.js (or equivalent frameworks).
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Strong experience with REST APIs, GraphQL, and event-driven systems.
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Deep understanding of eCommerce domains: catalog, pricing, promotions, checkout, order management, and fulfillment.
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Experience with cloud-native architecture (Azure preferred, AWS acceptable).
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Strong understanding of performance optimization, SEO, and Core Web Vitals.
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Knowledge of security best practices and compliance.
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Proven ability to design high-scale, distributed systems.
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Excellent problem-solving and communication skills.
AI & Data Requirements (Mandatory)
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Hands-on or applied experience with Generative AI (LLMs, prompt engineering, RAG architectures).
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Experience with AI-powered personalization or recommendation systems.
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Experience integrating AI into customer experiences and internal workflows or SDLC.
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Understanding of vector databases, embeddings, and semantic search.
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Familiarity with AI orchestration frameworks (e.g., LangChain, Semantic Kernel, etc.).
Nice to Have
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Experience with Adobe Commerce (Magento) or similar platforms.
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Experience in B2B eCommerce environments.
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Exposure to Agentic AI / autonomous workflows.
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Experience with real-time data streaming platforms.
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Knowledge of digital marketing and growth optimization tools.
Apply for this position
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Prepare application
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