React / Node Developer / Architect

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Company: Anagh Technologies, Inc.

Location: Seattle, WA 98115

Description:

Senior Developer

Architect will be doing (70% architecture work, 30% Coding)

AWS required - a few years setting up and deploying.

About this team
The Personalization and Loyalty team is leading the transformation of
lululemon digital technology. This team is focused on delivering our
personalization and loyalty roadmaps, As the leaders in the adoption of
personalization technology at lululemon, this team is a key driver of technical
transformation at lululemon.
A day in the life:
  • Partner with Domain Architects, Technology Managers and Business Analysts to ensure solutions are aligned to stakeholder expectations
  • Support business and digital planning teams to develop high-level options and estimates and backlog prioritization.
  • Accountable for working with Domain/Enterprise Architects for assessment and evaluating new platforms/products
  • Accountable for documenting high level architecture along with the process, information and system architectures
  • Support with Discovery sessions success metric valuation
  • Facilitate conversations regarding technical debt w/ software engineers to ensure this is accounted for in requirements to deliver stated feature
  • Responsible to make sure that solution designs are aligned to the guidelines/principles set by architecture/engineering community.
  • Responsible for adding/editing/feedback on principles/policies if those needs
  • revision based on ground reality.
  • Responsible for capturing and designing the system to meet Non-Functional Requirements (NFRs), Alerts and Monitoring (from Ops perspective)
  • Engaged in and aware of industry trends and best practices
  • Define/own technical solutions on the roadmap and ensure alignment with Domain Architects and other stakeholders
  • Ensures that solutions are designed for ease of operations and requiring minimal to no manual intervention.
  • Participate in DevOps and Root cause analysis so that future solutions can be refined based on production feedback

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