Systems Architect (Singapore, Indonesia, or India)

CDAH Platform Overview The CDAH will be a cloud-native, open-source “operating system” for integrated climate and health intelligence, built on five pillars:

• AI R&D environment: Ingests multi-modal climate, environmental, epidemiological and socio-demographic data into a unified data lake & feature store; supports Kubeflow/PyTorch/TensorFlow pipelines with MLflow registry, automated benchmarking, architecture search, transfer learning and uncertainty-aware modeling. 
• Digital tool marketplace & public goods registry: User-facing portal for dashboards, mobile apps and alerting platforms; structured backend registry of pre-trained model packages, microservices, ETL scripts, governance adapters, metadata and version history. 
• Systems integration & deployment layer: Middleware adapters and Kafka messaging to plug AI services into DHIS2, HMIS, IDSR and similar platforms; Terraform/Ansible IaC, identity management, end-to-end encryption and compliance with data-governance standards. 
• Training environment: Web portal and virtual bootcamp infrastructure hosting open-access modules, instructor-led sessions, hands-on Jupyter labs, code templates and certification tracks on climate-health AI workflows and interoperability. 
• Real-world evaluation sandbox: Controlled simulation environment replicating public-health workflows, climate variability and institutional constraints; structured feedback loops for piloting, validating and refining tools prior to full-scale rollout. 
• AI R&D environment:Ingests multi-modal climate, environmental, epidemiological and socio-demographic data into a unified data lake & feature store; supports Kubeflow/PyTorch/TensorFlow pipelines with MLflow registry, automated benchmarking, architecture search, transfer learning and uncertainty-aware modeling. 
• Digital tool marketplace & public goods registry: User-facing portal for dashboards, mobile apps and alerting platforms; structured backend registry of pre-trained model packages, microservices, ETL scripts, governance adapters, metadata and version history. 
• Systems integration & deployment layer: Middleware adapters and Kafka messaging to plug AI services into DHIS2, HMIS, IDSR and similar platforms; Terraform/Ansible IaC, identity management, end-to-end encryption and compliance with data-governance standards. 
• Training environment: Web portal and virtual bootcamp infrastructure hosting open-access modules, instructor-led sessions, hands-on Jupyter labs, code templates and certification tracks on climate-health AI workflows and interoperability. 
• Real-world evaluation sandbox: Controlled simulation environment replicating public-health workflows, climate variability and institutional constraints; structured feedback loops for piloting, validating and refining tools prior to full-scale rollout. 
 

What You’ll Do

• Cloud infrastructure and security: Design, deploy and operate the CDAH’s secure, scalable, cloud-native backbone using Kubernetes, Docker, Terraform and Ansible; implement identity management, encryption, and compliance frameworks. 
• DevSecOps & CI/CD leadership: Lead all infrastructure CI/CD (Terraform/Ansible), security scans, vulnerability testing, and platform health monitoring. 
• Middleware and systems integration: Define and build REST/Kafka-based middleware adapters to embed AI services into DHIS2, HMIS, IDSR and other national health systems–ensuring data-governance, authentication and encryption. 
• Sandbox orchestration: Provision, monitor, and teardown real-world evaluation sandboxes end-to-end. 
• Front-end architecture and development: Architect and build the CDAH web portal front end: select frameworks, implement UI/UX components, integrate with backend APIs and data services, and ensure high availability, performance, accessibility and seamless user experience. Incorporate basic UX analytics (usage metrics, A/B tests) and iterate on portal design. 
• Platform integration and collaboration: Work closely with the Data Engineer and AI/ML Engineer to weave data and model services into a cohesive, end-to-end platform. 
• Learning Management System development and operations: Configure and operate the virtual bootcamp environment– user authentication, content management, lab provisioning and analytics dashboards– provisioning ephemeral compute, monitoring performance and responding to live support requests. 
• DevOps Blueprints and Open Source: Publish Terraform modules, Helm charts, Dockerfiles, and integration blueprints to the public-goods registry– ensuring reusability, security, scalability and compliance. 

What We’re Looking For

• Deep technical expertise: 8+ years in cloud architecture or SRE/DevOps, with a strong track record in secure, large-scale Kubernetes and Terraform deployments. 
• MLOps & Cloud proficiency:Expertise in Kubernetes, Docker, CI/CD (GitOps), and multi-cloud (AWS, Azure, GCP) environments. 
• API & microservices: Proven ability to design, implement, and secure RESTful APIs and event-driven architectures. 
• Consulting acumen: Exceptional stakeholder management, technical storytelling, and client-facing presentation skills– ideally honed at a top-tier consulting firm or tech organization. 
• Autonomous delivery:Demonstratedcapacity to own complex projects end-to-end, navigate ambiguity, and deliver production-ready solutions with minimal oversight. 

Preferred Qualifications

• Prior engagement in global health, One Health, or climate-health data initiatives. 
• Familiarity with data-governance frameworks (e.g., GDPR, HIPAA) and cybersecurity best practices. 
• Experience designing and delivering technical training or bootcamps. 
• Contributions to open-source digital public goods or curated registries

Why You’ll Love This Role

• High-impact mission: Your work will directly strengthen early warning systems and resilience in climate-vulnerable regions. 
• Technical leadership:Shape the CDAH's cloud-native strategy and run critical platform components. 
• Innovation-friendly environment:Experiment with state-of-the-art container orchestration, IaC and event-driven integration patterns. 
• Global collaboration: Engage a diverse network of public-health experts, policymakers, and open-source communities.