Full Time Cloud Architect Jobs, Salary up to SGD 9,500 in SAGETECH PTE. LTD. Islandwide (Singapore) - Maukerja

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.