AI Cloud Architect

Cloud Architecture

• Develop and execute a comprehensive cloud strategy that aligns with business goals.

• Design, deploy, and manage scalable cloud solutions on platforms such as AWS, Azure, and Google Cloud.

• Lead the migration of legacy systems to cloud environments, ensuring minimal downtime and data integrity.

• Implement cloud governance policies, ensuring compliance with industry standards and best practices.

• Optimize cloud infrastructure for cost efficiency and performance.
  

Technology Leadership

• Collaborate with executive leadership to align technology initiatives with business objectives.

• Provide strategic direction and technical leadership to the IT team.

• Stay abreast of emerging technologies and industry trends to drive innovation, including blockchain, edge computing, serverless computing, AI-driven cloud services and advanced AI/ML techniques.

• Manage relationships with cloud service providers and negotiate contracts and SLAs.

• Ensure robust security measures and disaster recovery plans are in place.
  

AI Integration

• Drive the development and implementation of AI and machine learning solutions.

• Work closely with data scientists and engineers to integrate AI into products and services.

• Develop AI strategies to enhance operational efficiency and customer experience.

• Ensure AI initiatives are scalable, secure, and compliant with regulations (SOC2, HIPAA, GDPR, ISO/IEC 27001, NIST)

• Bachelor’s degree in computer science, Information Technology, or a related field (Master’s preferred).

• Minimum of 10 years of experience in cloud architecture or similar roles, with at least 3 years in a leadership position.

• Relevant certifications such as ITIL, PMP, AWS, and/or CISSP.

• Deep understanding of cloud infrastructure, data analytics, networking, and security.

• Proficiency in cloud-native application architecture and container orchestration systems (e.g., Docker, Kubernetes).

• Proficiency in modern software development techniques such as DevOps and CI/CD toolchains (e.g., Jenkins, Spinnaker, Azure DevOps, GitHub).

• Strong understanding of Active Directory, VMware, Windows Server, Linux, storage solutions (NAS, SAN), relational databases, and web services (Apache, Tomcat, IIS).

• Familiarity with scripting and programming languages (e.g., Python, Ruby, PowerShell).

• Strong leadership, communication, and problem-solving skills.

• Hands-on experience with AI and machine learning frameworks and tools.

• Knowledge of programming languages (C++, C#, Java, Node.js, Python).

• A culture that values authenticity and diversity of thoughts and backgrounds;

• An inclusive and respectable environment with open workspaces and exciting start-up spirit;

• Fast-growing company with the chance to network with industrial pioneers and enthusiasts;

• Ability to contribute directly and make an impact on the future of the digital asset industry;

• Involvement in new projects, developing processes/systems;

• Personal accountability, autonomy, fast growth, and learning opportunities;

• Attractive welfare benefits and developmental opportunities such as training and mentoring.