SAGETECH PTE. LTD.
1 week ago
Cloud Architect
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Company information
- Company
- SAGETECH PTE. LTD.
- Location
- Singapore Singapore
- Posted
- 1 week ago
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.
- 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.
Required skills
- it
- communication skills
- analytical skills
- security
- monitoring
- governance
- generative ai
- aws
- availability
- resilient
- gcp
- containers
- google cloud platform
- apis
- artificial intelligence
- microsoft azure
- data
- problem-solving skills
- infrastructure
- technical leadership
- solution architect
- ai/ml
- large language models
- ci/cd pipelines
- microservices
- infrastructure as code
- cloud infrastructure
- scalable
- networking
- performance
- modernization
- disaster recovery
- integration
- api management
- serverless computing
- cloud migration
- devops practices
- distributed systems
- iac
- technical specifications
- deployment
- identity and access management
- llms
- business processes
- cloud solutions
- applications
- cloud architecture
- cloud-native technologies
- solution development
- technology recommendations
- highly available
- stakeholder management skills
- solution design documents
- cloud-native services
- architecture diagrams
- cost-optimized
- ai service integration
- production implementation
- hands-on knowledge
- application transformation
- enterprise solution design
- cloud technology design
- automated deployment practices
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