Cloud Architect

SAGETECH PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

SAGETECH PTE. LTD. is seeking a seasoned Solution Architect (Cloud) with 10+ years of IT experience to design enterprise cloud solutions and guide implementation across AWS, Azure or GCP.

You will lead architecture discussions, create reference architectures, and align tech choices with business goals. Strong expertise in cloud-native patterns, AI/Generative AI, security, and governance is essential, as is the ability to collaborate with stakeholders and drive delivery from design through

Qualifications

• 10+ years of IT experience with enterprise cloud design.
• Experience across AWS/Azure/GCP.
• Strong knowledge of IaC, CI/CD, and automation.
• Familiarity with AI/Generative AI in cloud-based solutions.
• Ability to produce architecture diagrams and documentation.

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, Azure, or 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 DR requirements.
• Evaluate and recommend emerging technologies, including AI/ML and Generative AI, to enhance enterprise apps and processes.
• Collaborate with stakeholders, development teams, infrastructure teams, and vendors to translate business requirements into architecture and implementation plans.

Skills

Cloud architecture

Cloud platforms

IaC/CI-CD

Microservices

Security & IAM

AI/Generative AI

Leadership

Stakeholder mgmt

Tools

Terraform

Kubernetes

Docker

APIM

Job description

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.