AI Cloud Infra Architect — Multi-Cloud & Production Ready

NCS Pte Ltd; Singapore; On-site; SGD 140,000 - 240,000; Full time

Job summary

NCS is seeking a Cloud Engineer/Architect for AI Infrastructure within NCS AI Central's Forward Deployed Engineering model. You will own cloud infrastructure end-to-end, from architecture through hands-on provisioning and operations, across multi-cloud environments including AWS, Azure, and GCP, with Singapore government environments where applicable.

The role blends architecture leadership with hands-on delivery, covering DevOps, security, observability, and Gen AI infrastructure support to

Qualifications

• 3–5 years of relevant experience. Provisions and operates cloud infrastructure for individual engagements — hands-on deployment, troubleshooting, and monitoring — under guidance from a Senior Cloud Architect.
• 6–7+ years of relevant IT/cloud experience, including at least 2 years hands-on across multiple cloud environments (AWS, Azure, GCP) or deep hands-on within Singapore Government GCC/HCC environments. Owns cloud architecture end-to-end across multiple engagements.

Responsibilities

• Architect and provision cloud infrastructure end-to-end — from design through hands-on deployment — across AWS, Azure, or GCP depending on the client's environment (e.g. AWS ECS Fargate/Lambda/RDS/OpenSearch Serverless; Azure Container Apps/Functions/Azure Database/AI Search; GCP Cloud Run/Cloud Functions/Cloud SQL/Vertex AI Search).
• Deploy backend services, APIs, and AI pipelines, ensuring connectivity, security groups/NSGs, IAM roles, and networking (VPC/VNet, load balancing, DNS) are configured correctly.
• Architect microservices and API architectures, serverless and container-based systems, and event-driven/streaming pipelines.
• Apply working knowledge across at least two major cloud providers (AWS, Azure, or GCP) to support engagements regardless of client cloud posture, including Singapore Government GCC/HCC landing zones.
• Deliver secure foundations / landing zones and cloud migrations across cloud platforms.
• Apply strong knowledge of VPC/VNet design, NAT/Transit, subnets, IAM, KMS/Key Vault, autoscaling, resiliency, disaster recovery, and cost optimization strategies.
• Apply cloud security principles, common threats, and mitigation techniques.
• Set up and maintain CI/CD pipelines, from lightweight pipelines for rapid POC deployment through to production‑grade deployment automation, using Terraform / CDK / CloudFormation, Docker, and GitOps.
• Implement observability stacks (CloudWatch, X‑Ray, OpenTelemetry) and use basic scripting/automation (Python, Bash) for day‑to‑day operational and troubleshooting tasks.
• Enable backend and AI Engineering teams to integrate foundation models via AWS Bedrock, Azure AI Foundry, or Google Vertex AI — including China-origin models (DeepSeek, Qwen, GLM) where self-hosted or exposed via compatible endpoints; ensure model endpoints, API keys, and integration pipelines are functional.
• Apply solid understanding of generative AI inference workloads, embeddings, vector search, RAG patterns, agentic workflows, and LLMOps practices, plus API rate limiting and workload isolation.
• Apply exposure to API management frameworks such as Apigee or WSO2, in addition to native cloud API gateways.
• During FDE engagements: stand up lightweight, disposable cloud environments that let the team iterate quickly on POC/POV without operational overhead.
• During system development & maintenance engagements: take ownership of steady-state production operations, scaling, and incident troubleshooting for live cloud infrastructure.
• Document cloud setup, architecture decisions, and deployment steps for the team.
• Troubleshoot cloud infrastructure quickly and independently, across both POC and production contexts.
• Work closely with the Application Architect and Fullstack Developer to keep application and infrastructure design aligned.

Skills

Cloud architecture design

Multi-cloud proficiency

CI/CD automation

Python scripting

Bash scripting

Security best practices

Troubleshooting

Tools

Terraform

CDK

CloudFormation

Docker

GitOps

Prometheus/Grafana

OpenTelemetry

APIs knowledge

Job description

NCS is seeking a Cloud Engineer/Architect for AI Infrastructure within NCS AI Central's Forward Deployed Engineering model. You will own cloud infrastructure end-to-end, from architecture through hands-on provisioning and operations, across multi-cloud environments including AWS, Azure, and GCP, with Singapore government environments where applicable.

The role blends architecture leadership with hands-on delivery, covering DevOps, security, observability, and Gen AI infrastructure support to