Jack prabha

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por Jack prabha - segunda, 17 fevereiro 2020, 09:46
Todo o mundo

In this Systems Architect position, you will engage with multi-functional teams to commercialize digital products from concept to customer care and support, including:

Systems Architect Job Description

  • Dig in. Provide technical thought leadership and expertise.
  • Launch quickly, fail early. Develop product prototypes with embedded, mobile, and cloud IoT components.
  • Jump in. Teamwork, build, and deploy rapid prototype elements in the cloud or IoT product.
  • Stay technically fresh. Provide insight to cloud PaaS trends, IoT trends, and embedded component and sensor breakthroughs to ensure fast-paced and top solutions for near and long-term market viability.
  • Be comfortable at a whiteboard. Lead passionate discussions and teach new methods, but practice high emotional awareness to ensure you are challenging status quo while enabling adoption of the best outcome for the future.
  • Thrive in the methodical and fast-paced. Demonstrate exposure and experience using multiple software and systems development methods, such as Agile-Scrum, Kanban, Dual-track Agile, Outcome Driven Innovation, Jobs to be Done, ToGAF, ITIL, and Lean Startup methods.
  • Think iteratively. Break complex problems down in to bite-size iterations, while ensuring long-term alignment to strategy.
  • Design, specify, and test. Own technical product design and requirements for high-level architecture, including firmware, electrical, and mechanical components
  • Collaborate and partner. Work closely with our Information Systems department, IoT product management, Engineering, Project Management, Quality and Product Management to ensure connected products meet overall system requirements.
  • Build a strong network. Establish strategic vendor relationships to expedite prototyping and long-term product enablement for jointly developing connected water solutions.
  • Design a long-term data strategy. Plan systems, data model, and value propositions for the integration and use of product data within business-wide analytic platforms
  • Think beyond today, but don't forget the past. Build platforms that can be deployed across current and future products