AWS Cloud Architect - #1162102

BRT Systems


Date: 2 hours ago
District: Singapore
Salary: $8,500 - $11,500 / month
Contract type: Full time
Work schedule: Full day
BRT Systems

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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