Business Support Engineer - AdTech

Meta; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Meta seeks an engineer to provide technical and engineering support to Advertising partners globally.

You will work with a global team of Business Support Engineers who are experts in Meta’s Adtech to provide proactive and reactive support for partner issues and integrations while collaborating with Platform and Infrastructure teams to investigate and resolve issues and implement necessary fixes for our products and deployments.

Qualifications

• Bachelor's degree in CS or related field.
• 5+ years in software or site reliability engineering.
• Experience with REST APIs, Python, PHP/Hack, and React.
• Experience with PyTorch models and at least one LLM.
• Strong data analysis with SQL and cross-functional collaboration.
• Proficient English communication with stakeholders.

Responsibilities

• Provide technical and engineering support to Meta’s Advertising partners and customers globally.
• Collaborate with global Business Support Engineers and cross-functional teams.
• Investigate issues, debug root causes, and deploy fixes for outages.
• Ensure high product quality and satisfactory partner experience.

Skills

API development

Python

PHP/Hack

JavaScript/React

REST APIs

Cloud infrastructure

PyTorch / LLMs

AI ethics

SQL data analysis

Kubernetes

Docker

Kubeflow

Open Source stacks

English communication

Education

Bachelor's degree in CS / related field

Tools

Kubernetes

Kubeflow

Docker

Cloud platforms (AWS/GCP/Azure)

Job description

We are looking for an engineer to play a key role in providing technical, engineering support to Meta’s Advertising partners, Customers and clients globally. You will have the opportunity to work together with a global team of Business Support Engineers who are expert in Meta’s Adtech to provide proactive and reactive support for partner issues and integrations while partnering with our broad cross functional teams to ensure a high quality for our products and satisfactory experience for our partners and customers. We work directly with Platform and Infrastructure teams to investigate and resolve issues reported by our partners, to properly assess and agree on actions to be taken for necessary fixes and continuous improvements in our products and deployments.

Qualifications and Experience

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent
• 5+ years of experience in software engineering or site reliability engineering or support engineering
• Proven experience in API development on cloud-based infrastructures, with the ability to debug, identify root causes, and independently resolve outages impacting Meta partners
• Experience with the full web stack, REST APIs, Python, PHP/Hack, and JavaScript/React development, along with debugging and bug management
• Knowledge of fine-tuning and optimization of PyTorch models and with at least one LLM, such as LLaMA, GPT, Claude, Falcon, etc
• Experience in communicating with technical and business audiences, and writing technical documentation
• Experience in assessing, analyzing, and resolving operational issues using data analysis (SQL)
• Experience in managing multiple concurrent projects and driving initiatives in a cross-functional environment
• Professional working proficiency in English is required because this role involves close collaboration with internal stakeholders and external customers whose primary business language is English
• Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience transforming data, model selection/training/optimization, and deployment at scale
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Hands-on experience working with large language models and AI agents
• Experience building and deploying solutions on cloud platforms (e.g., AWS, GCP, Azure)
• Experience working in engineering environments with geographically distributed, cross-cultural teams and international stakeholders
• Experience in partner-facing or customer-centric engineering roles
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)