Backend Software Engineer, Manus

Meta • United States, United States • 8h ago

Summary:

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.

Required Skills:

Backend Software Engineer, Manus 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 gPRC) 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 Mandarin-speaking 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)

Solid understanding of 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:

Proficiency in Mandarin (spoken and written) is preferred to conduct daily meetings with Mandarin-speaking colleagues/vendors, and to review technical specifications in Mandarin

Passionate about AI technology with a strong interest in exploring AI-powered development tools and understanding 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

Industry: Internet

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