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DomAIyn Labs

Cloud Architect

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Job Description

Company Description

DomAIyn Labs is an ethical AI company specializing in building private, secure, and responsible intelligence systems to protect data and ensure trust. The company develops Bayora, a cutting-edge LLM Safety Engine that evaluates large language models securely within a client's cloud, ensuring privacy and transparency. With a mission to make AI trustworthy, DomAIyn Labs focuses on creating systems that enhance safety, privacy, and ethical integrity in AI deployments. The organization is committed to addressing risks such as data leaks, compliance violations, and vulnerabilities in AI models with robust solutions. By prioritizing accountability and reliability, DomAIyn Labs transforms AI into a safe and dependable technology.

Role Description

This is a full-time remote role for a Cloud Architect. In this position, you will design and implement cloud architecture solutions, lead infrastructure management, and ensure seamless integration of complex systems. You will collaborate with cross-functional teams to define technical requirements, provide technical leadership, and contribute to the development of robust and scalable cloud solutions. The role will also involve evaluating and recommending cloud technologies to support business needs and long-term goals.

Qualifications
  • Proficiency in Solution Architecture, including designing and optimizing scalable, secure, and efficient cloud solutions.
  • Expertise in Infrastructure management, focusing on configuration, deployment, and maintenance of cloud environments.
  • Strong background in Software Development and Integration for creating stable, reliable, and adaptable platforms.
  • In-depth knowledge of system and application Architecture for large-scale enterprise or cloud-based services.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and best practices for their implementation and security.
  • Strong problem-solving, collaboration, and communication skills.
  • Experience in AI or data-intensive systems is a plus.
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

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About Company

Job ID: 138146457

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