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Manus — now part of Meta — is a general-purpose AI agent that bridges mind and action, handling complex tasks from start to finish. It enables people to delegate entire workflows across deep research, data analysis, and software development, turning advanced AI into reliable, practical results. We are seeking backend engineers to join our team in driving the development of Manus’s core infrastructure & business systems, as well as building cutting-edge products that enable our infrastructure & operations to connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms. Our teams are constantly pushing the boundaries of system efficiency & user experience, and we're looking for individuals who can help us advance the way people connect globally. If you’re excited to collaborate with a diverse team and contribute to impactful projects, we encourage you to apply.
Job Responsibility:
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build high-performance, scalable backend services using Golang to support core AI product features
Design, develop, and optimize APIs (RESTful and gRPC) 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
Write clean, maintainable, and well-documented code following industry best practices
Implement custom user interfaces using latest programming techniques and technologies
Develop reusable software components for interfacing with back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with in-depth end-to-end understanding
Lead and participate in technical syncs with cross-regional teams, translate and review technical specifications to ensure alignment across partners
Requirements:
Experience with CI/CD pipelines and infrastructure-as-code practices
3+ years of backend development experience with demonstrated expertise in Golang
Proficiency in database design, optimization, and management (MySQL, PostgreSQL, MongoDB)
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Strong understanding of microservices architecture and service orchestration tools (gRPC, Kubernetes)
Experience working with cloud platforms (AWS, GCP, or Azure) and containerization technologies
Hands-on experience with distributed systems, message queues (Kafka, RabbitMQ), and caching technologies (Redis)
Nice to have:
Professional working proficiency in Mandarin is preferred to conduct daily meetings with Mandarin-speaking colleagues/vendors, and to review technical specifications in Mandarin
Experience exploring and applying AI-powered development tools, with familiarity with AI product design principles
Previous experience in backend development for AI, ML, or SaaS products
Knowledge of infrastructure monitoring tools (Prometheus, Grafana, ELK stack)
Experience in programming languages such as Python, C++, Java
Demonstrated interest in AI products and emerging technologies
Experience working in international, distributed teams
Exposure to architectural patterns of large scale software applications
Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
Experience building and shipping high quality work and achieving high reliability
Familiarity with security best practices and compliance frameworks
Contributions to open-source projects or technical community involvement
Experience with payment processing systems, financial transactions, or fintech applications
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies