Business Support Engineer

Meta Meta · Big Tech · Singapore

This role focuses on providing technical support and engineering assistance to Meta's global partners, particularly in areas like Fintech and Telecommunications. The engineer will manage integrations, troubleshoot issues, and collaborate with internal teams to improve products. While the role involves using and understanding AI tools for workflow optimization and adhering to ethical AI practices, its core function is partner support and integration, not direct AI/ML model development.

What you'd actually do

  1. Partners with Meta’s Business Partners & Clients to help them deploy Meta Products at scale
  2. Provide integration support through a range of Cloud Based APIs, Financial Technology & Telecommunications Integrations, enabling them to connect with a variety of users around the world
  3. Manage technical relationships with Meta partners, providing technical support and handling service outages
  4. Become an expert in one of our business products and how best to deploy them and troubleshoot them
  5. Provide continuous proactive and reactive technical support through a scaled ticketing system while ensuring a high level of satisfaction from our service

Skills

Required

  • 5+ years of experience as a Support Engineer, Service Engineer or similar
  • Experience developing, deploying and operating software in one or more public cloud infrastructure (Azure, GCP, AWS, etc.)
  • Proven experience in API development on cloud based infrastructures
  • Proficiency in full-stack development with experience in the full web stack, SOAP, and REST-API technologies and architectures
  • Solid understanding of IT infrastructures and network protocols on different layers, with demonstrable knowledge of different data exchange formats and protocols
  • Experience assessing, analyzing, and resolving operational issues using data
  • Experience managing multiple concurrent projects and driving initiatives in a cross-functional environment

Nice to have

  • Bachelor's degree in Computer Science, Engineering, or related technical field experience
  • Experience in communicating with technical and business audiences and creating technical documentation
  • 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

What the JD emphasized

  • Proven experience as a Support Engineer, Service Engineer, or similar
  • Experience assessing, analyzing, and resolving operational issues using data
  • 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