Backend Engineer at Manus AI in Singapore

  • Company: Manus AI
  • Location: Singapore
  • Job type: full time
  • Workplace: onsite
  • Posted: 2025-09-24

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Job description

We're seeking a skilled Backend Engineer to join our growing team and drive the development of Manus's core infrastructure and business systems. This role offers the opportunity to work across two specialized tracks: infrastructure engineering and business application development, allowing you to shape both the technical foundation and user-facing features of our AI-powered platform. Key Responsibilities Core Backend Development • Build high-performance, scalable backend services using Golang to support core AI product features • Design, develop, and optimize APIs (RESTful and GraphQL) ensuring efficient frontend-backend interactions • Participate in system architecture design to ensure stability, reliability, and scalability at enterprise scale • Handle large-scale data flows and optimize distributed systems for peak performance • Collaborate closely with frontend and AI agent teams to support rapid product iteration cycles • Write clean, maintainable, and well-documented code following industry best practices Infrastructure Track (Option A) Middleware & Core Systems Management • Maintain and optimize Manus's foundational middleware stack including databases, caching layers, logging systems, and message queues • Design and manage Kubernetes cluster architecture for optimal resource utilization and fault tolerance • Implement monitoring, alerting, and observability solutions across all infrastructure components • Ensure high availability and disaster recovery capabilities for mission-critical systems E2B Cluster Operations • Oversee maintenance, configuration, and enhancement of Manus's E2B cluster infrastructure • Drive capacity planning and scaling initiatives to meet growing demand • Implement cost optimization strategies while maintaining performance standards • Collaborate with DevOps teams to streamline deployment and operational workflows Business Systems Track (Option B) Core Business Development • Develop and maintain user management systems, authentication, and authorization frameworks • Build integrations with marketing automation platforms and operational tools • Create robust APIs for customer onboarding, engagement tracking, and lifecycle management • Implement analytics and reporting systems for business intelligence Payment & Monetization Platform • Design and develop comprehensive payment processing systems with multiple gateway integrations • Build credit and points management systems with real-time balance tracking • Implement coupon, discount, and promotional campaign management features • Develop membership and subscription management capabilities with automated billing • Ensure PCI compliance and implement fraud detection mechanisms Required Qualifications • Bachelor's degree or higher in Computer Science, Software Engineering, or related technical field • Minimum 3 years of backend development experience with demonstrated expertise in Golang • Strong understanding of microservices architecture and service orchestration tools (gRPC, Kubernetes) • Proficiency in database design, optimization, and management (MySQL, PostgreSQL, MongoDB) • Hands-on experience with distributed systems, message queues (Kafka, RabbitMQ), and caching technologies (Redis) • Solid understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies • Experience with CI/CD pipelines and infrastructure-as-code practices • Strong problem-solving abilities and passion for learning new technologies Preferred Qualifications • Previous experience in backend development for AI, ML, or SaaS products • Experience with payment processing systems, financial transactions, or fintech applications • Knowledge of infrastructure monitoring tools (Prometheus, Grafana, ELK stack) • Familiarity with security best practices and compliance frameworks • Experience working in international, distributed teams • Contributions to open-source projects or technical community involvement • Experience with performance optimization and large-s

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