Full Stack Engineer

Our client is a Singapore-basedAI company delivering a multi-tenant B2B SaaS platform for building-inspectionimagery and reporting, built on AWS. The platform includes single-page webapplications, serverless image-processing services, and integrations withself-hosted AI/3D-reconstruction pipelines.

What You'll Do

• Own end-to-end feature delivery across the SPA frontendand backend services on AWS

• Maintain and secure serverless image-processingfunctions

• Own the PostgreSQL (RDS) data layer, including schemadesign and upgrades

• Re-establish CI/CD pipelines for the web estate

• Integrate web products with self-hosted AI inferenceand 3D-processing pipelines

• Improve production observability (logging, healthchecks, monitoring) at the application layer

• Implement consistent authentication/authorisationacross products and tenants

Core Key Skills

• 5-8+ years of full-stack engineering, including 3+years running production systems on AWS

• Proven experience shipping and operating a multi-tenantB2B SaaS (SPA frontend + backend on EC2/Lambda)

• Strong JavaScript/TypeScript with production SPAexperience (React strongly preferred)

• Node.js backend development, including AWS Lambda forimage/binary processing

• Working proficiency in Python web backends(Django/Flask)

• Production PostgreSQL experience on Amazon RDS (schemadesign, query optimisation, upgrades)

• REST API design using API Gateway and load-balanced(ALB) services

• Experience with S3 at scale (multipart uploads,presigned URLs, lifecycle rules)

• EC2-based deployment (AMIs, launch templates, AutoScaling Groups) on Linux

• Familiarity with authentication services (e.g. AmazonCognito) and Git-based CI/CD workflows

Nice to Have

• Geospatial/imagery domain exposure

• Experience with enterprise or government clients inSingapore/SEA

• Docker and container fundamentals