Develops enterprise architectures, technology roadmaps, and scalable cloud solution designs aligned with business requirements. Evaluates technologies, establishes architecture standards, manages design and delivery risks, and promotes secure, compliant, and consistent solutions. The role requires extensive experience across AWS, Azure, GCP, modernization, microservices, integration, CI/CD, SRE, data and AI, IoT, security, and infrastructure as code, with strong stakeholder collaboration and public-sector project experience.
Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.
Job Scope
- Design end-to-end cloud solution architectures that address business, functional and non-functional requirements, with a strong focus on scalability, availability, performance, security, maintainability and cost optimisation.
- Lead the architecture and technical design of digital transformation and application modernisation projects, covering cloud infrastructure, applications, integration, data, security and DevSecOps.
- Provide technical leadership to project delivery teams, working closely with developers, DevOps engineers, data engineers, security teams and other technical specialists throughout the solution delivery lifecycle.
- Translate business and technical requirements into practical solution architectures, technical designs, architecture diagrams and implementation approaches.
- Design solutions using cloud-native and modern application architecture patterns, including microservices, containers, Kubernetes, serverless, APIs, event-driven architecture and managed cloud services.
- Design and advise on cloud landing zones, networking, identity and access management, security, observability, high availability, disaster recovery and infrastructure automation.
- Evaluate and select appropriate cloud services, technologies, frameworks and tools based on solution requirements, constraints, security requirements and total cost of ownership.
- Provide architecture governance and technical guidance during implementation, including design reviews, troubleshooting complex technical issues and ensuring the delivered solution remains aligned with the approved architecture.
- Work closely with clients and stakeholders to communicate architecture decisions, technical trade-offs, risks and recommendations.
- Identify technical and delivery risks early and develop appropriate mitigation strategies.
- Support pre-sales and solutioning activities, including solution architecture, technical proposals, effort estimation, technology evaluation and client presentations where required.
- Design and advise on solutions incorporating AI/ML and Generative AI capabilities, including integration with enterprise applications, data platforms, APIs and cloud-native AI services.
Job Requirements
- Minimum 8–10 years of relevant technology experience, with strong experience in solution architecture, cloud architecture and delivery of enterprise-scale digital solutions.
- Strong hands-on architecture experience with at least one major cloud platform: AWS, Microsoft Azure or Google Cloud Platform (GCP). Experience across multiple cloud platforms will be advantageous.
- Proven experience in designing and delivering end-to-end cloud solutions, including compute, storage, networking, security, identity, integration, databases, monitoring and application services.
- Proven experience in leading technical delivery teams for digital transformation, cloud migration, application modernisation or cloud-native application development projects.
- Strong understanding of modern application architecture and engineering practices, including microservices, containers/Kubernetes, serverless, APIs, event-driven architecture, messaging and integration technologies.
- Good understanding of DevSecOps, CI/CD, Infrastructure as Code (IaC), observability, Site Reliability Engineering (SRE) and cloud operations.
- Strong understanding of cloud security architecture, including IAM, network security, encryption, secrets management, security monitoring and Zero Trust principles.
- Familiarity with data, analytics, AI/ML and Generative AI technologies, including practical understanding of how AI capabilities such as LLMs, RAG, AI agents and cloud AI services can be integrated into enterprise solutions.
- Experience with technologies and platforms such as Kafka, AMQP, API management, relational/NoSQL databases, Kubernetes, Terraform and modern CI/CD platforms will be advantageous.
- Strong understanding of architecture principles, design patterns, non-functional requirements and architectural trade-offs.
- Ability to move between high-level architecture and implementation-level technical discussions, and provide practical guidance to engineering teams.
- Strong analytical, logical thinking and problem-solving abilities.
- Strong stakeholder management, communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Experience working in Agile delivery environments and collaborating with multidisciplinary project teams.
- Experience in one or more industry sectors such as Public Sector, Healthcare or Financial Services will be advantageous.
- Prior experience with Singapore Government projects, Government Commercial Cloud (GCC/GCC+) and related technology/security requirements will be a strong advantage.
- Relevant cloud architecture certifications such as AWS Solutions Architect Professional, Microsoft Azure Solutions Architect Expert or Google Professional Cloud Architect will be advantageous.
Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.
We see the diversity of our team as a strategic advantage, and we work actively to maintain it.
By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/
Temus Singapore, Singapore, SGP Office
Singapore, Singapore
Similar Jobs
Fintech • Mobile • Payments • Software • Financial Services
Design and deliver scalable APAC onboarding and KYC systems, including regulatory controls, document-processing automation, identity-data tooling, and highly available services. Lead architecture, technical direction, roadmap execution, observability, and cross-functional delivery. Mentor engineers and use product and analytics insights to improve customer conversion and operational efficiency across diverse regulatory markets.
Top Skills:
Deployment FrameworksDistributed SystemsJava 17+JvmNon-Relational DatabasesObservability ToolsRelational DatabasesSpring Boot
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Senior Engineer develops and tests security firmware for SSD products, collaborates with teams, and integrates AI tools to enhance efficiency.
Top Skills:
CC++NvmePciePythonRustSASSata
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Owns NAND Flash memory test programs from development through production release. Develops wafer and package functional test strategies, improves yield and reliability through test optimization and data analysis, reduces test time, and ensures readiness for new product introduction and high-volume manufacturing. Collaborates with test, production, process, and engineering teams while applying programming, semiconductor, analytical, and AI-assisted problem-solving skills.
Top Skills:
Ai-Assisted ToolsCC++Nand FlashPackage TestingPythonSemiconductor Functional TestingUnix/LinuxWafer Testing
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
