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Open nowPosted 24 days ago

AWS Cloud Architect

MyCareersFuture94,028 open roles

Pay
SGD 8,500 – SGD 11,500 a month
Where
North-East, Singapore
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Your applicationOpen nowAWS Cloud ArchitectMyCareersFuture · North-East, Singapore

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This job: posted 24 days ago

The posting

Role Summary

We are seeking an experienced AWS Cloud Architect to join us. This is a dual-mandate role: you will ensure the reliability, security, and continuous evolution of our production IoT SaaS platform, while concurrently leading cloud architecture for our next-generation Intelligent Building Management System (iBMS). You will work hands-on with AWS-managed services and IoT protocol stacks, collaborating closely with firmware, backend, and product teams.

Key Responsibilities

  • Own end-to-end AWS infrastructure for our SaaS products, ensuring high availability, low latency, and security.
  • Manage AWS services for identity, databases, storage, and messaging in a multi-tenant environment.
  • Maintain Kubernetes cluster health: scaling, RBAC, pod autoscaling, and upgrade cadence.
  • Enforce security best practices: IAM least-privilege, network segmentation, device-to-cloud authentication, and compliance with SOC 2 / ISO 27001.
  • Collaborate with firmware and backend teams on IoT device onboarding, OTA updates, and protocol integration.
  • Lead cloud architecture for our next-generation Intelligent Building Management System (iBMS), spanning IoT, data, and AI layers.
  • Own infrastructure cost governance, disaster recovery plans, and RTO/RPO commitments.

Required Qualifications & Experience

  • AWS Certified Solutions Architect — Professional (mandatory); AWS Certified DevOps Engineer —Professional (advantageous).
  • Proven experience designing event-driven, microservices architectures for multi-tenant SaaS products.
  • Expert Python programming; intermediate Go; JavaScript/TypeScript/C/C++ advantageous.
  • Deep proficiency with core AWS services: EKS, ECS, ECR, IAM, Cognito, API Gateway, S3, SNS, Route53,CloudFront, CloudWatch, and KMS.
  • Hands-on Kubernetes administration (RBAC, HPA/VPA/KEDA, network policies) and Istio service mesh (mTLS, traffic management, observability).
  • Infrastructure as Code using Terraform (preferred) or AWS CDK; CI/CD pipeline experience with GitHub Actions, GitLab CI, or Jenkins.
  • Observability stack experience: Prometheus, Thanos, and Grafana.
  • Familiarity with IoT protocols (MQTT, Modbus, LoRaWAN, Zigbee, BACnet/IP) and device provisioning patterns (X.509, OTA updates).
  • Prior experience in an architect or principal engineer role, ideally in an IoT or SaaS environment.

Preferred Qualifications

  • Experience developing cloud solutions compliant with ISO 27001, SOC 2, or Singapore CyberSG requirements.
  • Background in smart building platforms, IBMS, SCADA, or building automation systems (BAS).
  • Experience with Digital Twin platforms and related data models.
  • Experience with payment gateway integrations and PCI-DSS compliance.
  • Exposure to AI/ML workloads on AWS (SageMaker, Bedrock) for analytics or forecasting applications.
  • Knowledge of Singapore BCA Green Mark requirements and smart building energy standards.

Core Competencies

Technical Leadership:

  • Systems thinking — holistic design across stack layers
  • Trade-off analysis (build vs. buy, consistency vs. availability)
  • Security-first mindset in all design decisions
  • Data-driven performance optimisation
  • Ownership mentality for production reliability

Interpersonal & Delivery:

  • Ability to communicate architecture to non-technicalstakeholders
  • Strong written documentation habits (ADRs, runbooks, RFCs)
  • Collaborative approach with firmware, product, and QA teams
  • Calm under production incident pressure; structured incident command
  • Self-directed; able to prioritise across parallel workstreams

What We Offer

  • Dual mandate role with significant technical scope: live SaaS operations plus greenfield iBMS platform development.
  • Opportunity to architect and build a next-generation Intelligent Building Management System from inception.
  • Exposure to the full IoT stack: from field device protocols to cloud data platforms and AI-driven building analytics.
  • Collaborative engineering culture with short decision cycles and direct access to product leadership.
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