Title: Backend & Platform Engineer

Location: Singapore (hybrid) • Reports to: CTO

About Rida

Join us in shaping the future of logistics by building the backend systems and cloud infrastructure that power real-time, AI-driven delivery optimisation.

The Role

You’ll design and scale core services, production-grade deployment pipelines, and model-serving infrastructure that stay reliable under dynamic, high-throughput workloads. You’ll bridge software engineering and platform operations so our AI and ops products thrive in production.

Key Responsibilities

1) Backend services

• Design, build, and maintain modular services in Node.js and/or Python.
• Ship secure, high-performance REST/GraphQL APIs with auth (OAuth2/JWT), rate limiting, and caching.

2) Cloud & infrastructure

• Architect cloud-native infrastructure to support AI model training, deployment, and continuous delivery.
• Use Docker, Kubernetes, and infrastructure-as-code tools to build robust, modular environments

3) Model serving & GPUs (nice-to-have)

• Develop scalable endpoints and backend systems for real-time and batch AI model inference, including model versioning, A/B testing, and rollback mechanisms.
• Manage cloud compute and GPU with autoscaling and cost optimization on AWS/GCP/Azure.

4) Reliability & observability

• Implement monitoring and alerting systems (Prometheus, Grafana, ELK, OpenTelemetry) to ensure high availability and rapid diagnostics across models and APIs.
• Design health checks, logging pipelines, and automated incident diagnostics.

5) Quality & delivery

• Write and maintain unit, integration, and end-to-end tests using Jest, PyTest, Postman, or similar frameworks to guarantee code quality and system stability.

Qualifications

• 5+ years in backend or platform engineering (startup/SaaS/AI environments ideal).
• Technical Mastery: Strong knowledge of Node.js, Python, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure). Familiarity with GPU workloads and ML deployment a plus.
• Quality-Focused: Solid experience writing robust test suites and designing systems for observability and fault tolerance.
• Analytical & Systems Thinker: Ability to design solutions that are scalable, maintainable, and cost-efficient.
• Collaborative: Eager to work cross-functionally with AI engineers, data scientists, and operations teams in a fast-paced environment.

What We Offer

• Impact: Your systems directly power our AI scheduling and delivery optimisation at scale.
• Growth: Deep exposure across backend, DevOps, and MLOps; high-ownership projects.
• Compensation: Market-aligned salary, benefits, performance bonus; ESOP optional.
• Environment: Work with a small, ambitious team at the intersection of AI, operations, and engineering.

How to apply

Email [email protected] and [email protected] with your CV and a short note about a reliability or scalability win you’re proud of (problem → approach → impact).