Backend Software Engineer, Manus

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.

Responsibilities

• 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

Minimum Qualifications

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)

Preferred Qualifications

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