AI Cloud Architect
Bitdeer is a NASDAQ-listed company specializing in Bitcoin mining, AI cloud services, and data center operations. They provide comprehensive mining solutions, AI development services, and operate seven global data centers with a significant portion of their energy being carbon-free.
About Bitdeer Technologies Group
Bitdeer is a high-performance computing platform that specializes in Bitcoin mining and AI cloud services. The company constructs and operates numerous cutting-edge data centers globally, including one of North America's largest, with a focus on using clean energy. Their product offerings include SEALMINER, which are high-performance and efficient chips; Cloud Mining services that allow users to participate in mining remotely; and Minerbase, a mobile intelligent cooling system. In addition to their crypto-focused services, Bitdeer is expanding into the AI sector by providing high-performance computing for AI/ML acceleration using NVIDIA DGX H100s, offering turnkey AI datacenter solutions, and developing an end-to-end AI application sharing ecosystem. They cater to both individual and institutional clients with a range of services like after-sales support, a hash rate market, and data center support.
Skills
About the Role
You will develop and execute a comprehensive cloud strategy that aligns with business goals. You will design, deploy, and manage scalable cloud solutions across major platforms, lead the migration of legacy systems to the cloud, and implement governance policies that keep infrastructure compliant and cost efficient. You will collaborate with executive leadership to align technology initiatives with business objectives, provide strategic direction to the IT team, and stay on top of emerging technologies such as blockchain, edge computing, serverless computing, and AI-driven cloud services. You will manage relationships with cloud service providers and ensure robust security and disaster recovery plans are in place. On the AI side, you will drive the development and implementation of AI and machine learning solutions, working closely with data scientists and engineers to integrate AI into products and services, all while ensuring initiatives remain scalable, secure, and compliant with relevant regulations.
Requirements
- 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)
Responsibilities
- 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
- 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
- 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)
Benefits
- Attractive welfare benefits and developmental opportunities such as training and mentoring