Backend & Dev Ops Engineer

Join us in shaping the future of logistics by building powerful backend systems and robust infrastructure that power real-time AI-driven delivery optimization.

As our DevOps & Backend Software Engineer, youll architect and scale core backend services, create deployment pipelines, and ensure our systems remain reliable under dynamic, high-throughput workloads. Youll be pivotal in bridging software engineering with infrastructure, enabling our AI models and operational platforms to thrive in production.

Key Responsibilities:

Scalable Backend Architecture & Development 

• Design, build, and maintain scalable, modular backend services using Node.js and Python to support our web, mobile, and internal platforms.
• Develop secure, high-performance RESTful and GraphQL APIs, with best practices in authentication, rate limiting, and load handling.

Infrastructure Architecture & Deployment 

• 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.

Model Serving & GPU Workload Management 

• 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.

Observability & Reliability Engineering 

• 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.

Testing & Quality Assurance 

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

Process Optimization & Automation 

• Build CI/CD pipelines that automate testing, containerization, and deployments, reducing manual overhead and accelerating release cycles.  

Qualifications 

• Experience: 3+ (ideally 5+) years in backend software engineering or DevOps roles, ideally within tech, SaaS, or AI-driven environments.
• 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 

• Impactful Role: Be part of a small, ambitious team reinventing logistics in Singapore. Your systems will directly power our AI scheduling and delivery optimization.
• Growth Opportunities: Build expertise across backend, DevOps, and AI infrastructure. Take on high-impact projects and accelerate your career in a growing company.
• Competitive Package: Market-aligned salary, benefits, and performance bonuses.
• Cutting-Edge Environment: Work at the intersection of AI, operations, and software engineering. Collaborate with technologists pushing the boundaries of last-mile delivery.

If interested please email *******@rida.ai and ******@rida.ai.

Information :

• Company : Rida.ai
• Position : Backend & Dev Ops Engineer
• Location : Singapore
• Country : SG