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:
Scalable Backend Architecture & Development
- Design, build, and maintain scalable, modular backend services using 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 , 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 and