What are the responsibilities and job description for the eCommerce Architect position at TekVivid?
Job Details
eCommerce Architect:
- 15 years of IT experience and at least 5 years in a technology consulting role with Commerce platform background collaborating with senior technology / business executives of client organizations.
- Demonstrated expertise in architecting, implementing, and supporting eCommerce (Commercetools, Oracle web commerce, Shopify Enterprise, etc.) technical solutions meeting complex business requirements, addressing various integration, and other required tools and technologies.
- Demonstrated expertise in handling NFR requirements and providing Performance, scalability, DR related solution across the technical stack.
- Ability to mine opportunities and convert opportunities to tangible assignments / projects
- Broad understanding of various technologies and frameworks across all architecture tier
- Diverse experience with Digital transformation engagements spanning across application development, application modernization, cloud migration, platform, and data transformation
- Experience driving technical workshops with technical and business clients to drive value added services and implementations
- Ability to travel to address customer needs, focused within the region
- Software Development Experience: Native Cloud Applications, APIs, Microservices or Java Full Stack
- Experience in driving Enterprise-wide adoption of Generative AI initiatives for SDLC efficiencies or Business Outcomes
- Cloud Skills: AWS, Google Cloud Platform, Azure. Preferred Google Cloud Platform.
Skills Preferred:
- Microservices using Springboot or Java Full Stack Developer.
- experience with Domain-Driven Design (DDD) solutions using C4 design
- eCommerce Platforms Commercetools, Oracle web commerce, Shopify Enterprise, Others
- Worked in Enterprises that serve B2C and retail services.
- Worked on Gen AI initiatives (or GenAI certification).
- Cloud Experience K8S, Google Cloud Platform or AWS or Azure. Preferred Google Cloud Platform.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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