Meta
Business Support Engineer
$114K–$167K
Menlo Park, CA · Full-time · Posted Aug 26, 2026
- Experience
- 3+ years as a software engineer or site reliability engineer; also requires proven experience in a support engineer, service engineer, or similar role.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; degree must be completed prior to joining Meta.
About the job
Provides engineering support for Meta advertising partners and integrations, investigates outages and distributed-system issues, and works across teams to improve product reliability and partner experience.
What you'll do
- Provide proactive and reactive partner support, including managing complex outages and participating in a 24/7 on-call rotation, including weekends.
- Troubleshoot distributed systems and integrations, develop monitoring, and collaborate with Platform and Infrastructure teams on fixes and improvements.
- Use AI tools to accelerate troubleshooting and automate work; document technical topics and share AI/ML expertise.
What they ask for
- 3+ years of experience as a software engineer or site reliability engineer.
- Proven experience as a support engineer, service engineer, or similar role.
- Experience developing, deploying, and operating software on public cloud infrastructure and developing APIs on cloud infrastructure.
- Proficiency in full-stack development, including the full web stack, SOAP, and REST API technologies and architectures.
Nice to have
- Hands-on experience working with large language models and AI agents.
- Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers.
Pay
$114,000/year to $167,000/year (base salary); bonus and equity amounts not stated
Tools
Azure, GCP, AWS, SOAP, REST API, Kubernetes, Kubeflow, Docker
AI focus
Use AI tools to troubleshoot and automate repetitive tasks; communicate AI concepts and develop/share AI/ML expertise. The posting also asks for experience with large language models, AI agents, responsible AI practices, and AI-enabled workflow improvements.
Model-written summary · the original posting is authoritative