We are seeking an experienced Enterprise Architect with deep experience building hybrid cloud systems across major cloud platforms and on-premise environments. As an Enterprise Architect, you demonstrate expertise in navigating the complexities of large-scale enterprise architectures while ensuring compliance with global data privacy regulations. Responsibilities include designing and implementing innovative solutions that seamlessly integrate cloud and on-premise infrastructure, collaborating with stakeholders to align technical solutions with business objectives, and leading cross-functional teams through project lifecycles as an architect and a hands-on contributor.

Key Responsibilities

  • Design and implement hybrid cloud architectures for large enterprises, leveraging major platforms (AWS, Azure, GCP) and on-premise infrastructure.
  • Define and implement best practices for data privacy, security compliance, scalability, and reliability across major cloud platforms and on-premise.
  • Translate business objectives, technical requirements, and compliance standards into comprehensive architectural designs.
  • Lead cross-functional teams in implementing hybrid cloud solutions, providing guidance and support.
  • Collaborate closely with architects and stakeholders to synchronize hybrid cloud initiatives with overarching business goals.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Proven experience as an Enterprise Architect designing hybrid cloud systems.
  • In-depth knowledge of major cloud platforms (AWS, Azure, GCP) and on-premise infrastructure technologies.
  • Experience with containerization and orchestration technologies (Docker, Kubernetes).
  • Working knowledge of data privacy regulations and compliance standards.
  • Excellent communication, interpersonal, analytical, and problem-solving skills.
  • Strong leadership abilities to lead cross-functional teams effectively.

Great to Have

  • Prior experience with Golang, relational DBs, and AI frameworks, including, PyTorch, Onnx, Nvidia Triton, Kubeflow.
  • Experience with async processing.
  • Active contributions to open-source projects
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