GCP Cloud Architect

1 month ago

United Downs, United Kingdom NodeFlair Full time

1. Responsibilities:

  • Collaborate with stakeholders across the organization to identify opportunities for leveraging Google cloud ML&LLM's to solve complex business challenges.
  • Design and architect, scalable, secure and cost-effective cloud-based solutions using appropriate Google cloud services (e.g. Cloud Bigtable, cloud spanner, vertex AI & LLM platform etc.)
  • Drive adoption of best practices for machine learning including model development deployment and monitoring on Google cloud platform.
  • Champion the exploration and integration of large language models into existing and future solutions to enhance functionalities and capabilities.
  • Conduct research and stay abreast of emerging trends in cloud computing ML&LLM's translating theoretical concepts into practical applications for our organization.
  • Development and maintain detailed technical documentation for future state architecture decisions and design implementation.
  • Partner with engineering teams to implement the designed architecture and ensure proper integration with existing systems.
  • Proactively identify and mitigate potential risks and challenges associated with new technologies and architectural transformations.
  • Effectively communicate complex technical concepts to diverse audiences fostering collaboration and buying across the organization.

2. Skills and Experience:

  • 5+ years of experience in architecting and designing cloud-based solutions.
  • Strong understanding of Google cloud platform and its core services.
  • Proven experience with machine learning concepts, model development, deployment, and governance.
  • Familiarity with large language models and their potential applications in business context.
  • Expertise in designing and building distributed systems, data pipelines and event driven architectures.
  • Understanding in programming languages like Python and Java
  • Experience with NoSQL and relational databases, data streaming platforms and distributed computing frameworks.
  • Excellent communication collaboration and problem-solving skills.
  • Ability to work independently and as part of a cross functional team.
  • Passion for innovation and staying ahead of the curve in the tech landscape.

Bonus:

  • Experience with cloud security best practices and compliance requirements.
  • Familiarity with specific industry related Google cloud solutions and use cases.
  • Demonstrated experience with building and deploying LLMs within real world applications.

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