Backend & Dev Ops Engineer

4 days ago

Singapore Rida Full time $120,000 - $200,000 per year

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

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