Cloud Engineer

Job Description:

Our client is seeking an experienced architecture savvy Cloud Engineer / Data Scientist to join our dynamic team. You will play a critical role in shaping our client's enterprise architecture, driving core to edge cloud and data-related initiatives across the client’s organization.

Key Responsibilities:

• Architecture and Integration Planning: Propose methods & tools, and create related deliverables for integrating, and adopting community architecture solutions.
• Current State Assessments: Capture, review and assess current state architecture for cloud infrastructure services & capabilities and provide analytical assessments with a proposed way forward for future vision and strategy documents.
• Multiple Cloud Strategy: Establish and implement mechanisms that provide for a multiple cloud architecture strategy.
• Hybrid Multi-cloud Edge Solutions: Provide prescriptive guidance on defining the minimum viable products (MVP) for regional and edge cloud architectures.
• Long-Term Thinking: Develop and execute data strategies that consider long-term implications, anticipating future needs and trends.
• AI Integration: Explore AI and machine learning techniques within a diverse cloud environment and analyze its impacts on architecture. Explore emerging data sources generated by AI models and propose how they may integrate into a cloud data ecosystem.
• The successful candidate must be capable of working in a team environment to:
• Provide cloud "Core to Edge" implementation plans and best practices.
• Provide Edge MVP launch plan documents.
• Provide knowledge transfer regarding edge architecture design and strategy.
• Assist Customer with identifying solutions for unique edge requirements.
• Assist Customer with conducting edge requirements assessment.
• Assist Customer with gathering details on current state edge solutions to include architecture resiliency.
• Assist Customer with application stack edge knowledge.
• Provide general recommendations on maturing future state architecture and edge capabilities.
• Champion a data mesh paradigm.