- Singapore
Full Time Cloud Architect Jobs, Salary up to SGD 11,500 in Sagetech - Maukerja
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Job Description
Responsibilities
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.
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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