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Cloud Architect

SAGETECH PTE. LTD.

Pay
SGD 9,500 – SGD 11,500 a month
Where
Singapore
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Your applicationOpen nowCloud ArchitectSAGETECH PTE. LTD. · Singapore
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Share of postings closed within
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  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted today

The posting

We are seeking a highly skilled Solution Architect (Cloud) with over 10 years of IT experience and strong expertise in cloud architecture, enterprise solution design, and cloud-native technologies. The candidate should have experience designing end-to-end cloud solutions and working knowledge of Artificial Intelligence (AI) and Generative AI technologies.

Key Responsibilities

  • Design and develop end-to-end cloud architectures covering infrastructure, applications, networking, security, data, and integration.
  • Lead the architecture and design of scalable, highly available, resilient, and cost-optimized cloud solutions on AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Define cloud architecture patterns, technology standards, reference architectures, and best practices.
  • Assess existing systems and develop cloud migration, modernization, and application transformation strategies.
  • Design solutions using microservices, containers, APIs, serverless computing, and cloud-native services where appropriate.
  • Ensure cloud solutions comply with security, governance, performance, availability, and disaster recovery requirements.
  • Evaluate and recommend emerging technologies, including AI/ML and Generative AI, to enhance enterprise applications and business processes.
  • Collaborate with business stakeholders, development teams, infrastructure teams, and vendors to translate business requirements into technical architecture and implementation plans.
  • Provide technical leadership throughout solution development, deployment, and production implementation.

Requirements

  • Minimum 10 years of experience in IT, with substantial experience in solution architecture and cloud technology design.
  • Strong hands-on knowledge of at least one major cloud platform: AWS, Microsoft Azure, or GCP.
  • Proven expertise in cloud infrastructure, networking, identity and access management, security, monitoring, scalability, and high availability.
  • Experience with cloud-native architecture, distributed systems, microservices, API management, containers, and DevOps practices.
  • Understanding of infrastructure as code (IaC), CI/CD pipelines, and automated deployment practices.
  • Experience or working knowledge of AI/ML, Generative AI, large language models (LLMs), or AI service integration within cloud-based solutions.
  • Ability to produce architecture diagrams, technical specifications, solution design documents, and technology recommendations.
  • Strong communication, analytical, problem-solving, and stakeholder management skills.

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