Backend and DevOps Engineer

This role is posted on behalf of Rida.AI, a startup supported by SGInnovate.
Background
Rida is an AI-powered logistics platform that helps businesses reduce operational costs and scale deliveries without owning fleets or managing internal dispatch teams. With a hybrid model of dedicated fleets and freelancers, all orchestrated by our AI, we enable highly customizable logistics at scale.
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, you’ll architect and scale core backend services, create deployment pipelines, and ensure our systems remain reliable under dynamic, high-throughput workloads. You’ll be pivotal in bridging software engineering with infrastructure, enabling our AI models and operational platforms to thrive in production.
Key Responsibilities:
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.
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:
2+ 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.
Interested candidates may apply directly to DTC at:
Seniority level
Seniority level Associate
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Transportation, Logistics, Supply Chain and Storage
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