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业务支持工程师

雇主

Meta

地点

远程 · Menlo Park · 美国

待遇

$114,000/year

工作模式

远程

截止日期

1月23日

福利
benefits at Metabonus + equity + benefitsbonus, equity or sales incentives, if applicable

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岗位摘要

Provide engineering support for partners, troubleshoot distributed systems, and leverage AI to drive

岗位职责

Meta(Meta Platforms)岗位:Business Support Engineer Responsibilities
Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfaction
Troubleshoot large-scale distributed systems and partner integrations, maintaining high code quality and operational standards
Leverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindset
Leverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindset
Develop performance monitoring systems for partner integrations to ensure high availability; leverage metrics to proactively identify issues and drive improvements across teams
Provide 24/7 oncall support coverage via rotation schedule (including weekends)
Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvement
Create clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externally
Drive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment.
Develop and share
AI/ML expertise, actively coach and mentor other engineers on technical troubleshooting and project execution
Proactively and independently analyze information to identify specific trends/opportunities, recommend appropriate and relevant tactical improvements, anticipate future business needs to improve the overall support experience, and share this knowledge across the team
Minimum Qualifications
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Degree must be completed prior to joining Meta
3+ years of experience as a software engineer or site reliability engineer
Proven experience as a support engineer, service engineer, or similar role
Bachelor's degree in Computer Science, Engineering, or related technical field experience
Experience in developing, deploying, and operating software in one or more public cloud infrastructures (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
Experience in communicating with technical and business audiences, and creating technical documentation
Experience working with IT infrastructures and network protocols across multiple layers, including familiarity with data exchange formats and protocols
Experience in assessing, analyzing, and resolving operational issues using data
Experience managing multiple concurrent projects and driving initiatives in a cross-functional environment
Preferred Qualifications
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
Experience working in engineering environments with geographically distributed, cross-cultural teams and international stakeholders
Experience in partner-facing or customer-centric engineering roles
Experience building and deploying solutions on cloud platforms (e.g., AWS, GCP, Azure)
Hands-on experience working with large language models and AI agents
Experience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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, and optimization, and deployment at scale
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses.
When Facebook launched in 2004, it changed the way people connect.
Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.
Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America:$114,000/year to $167,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.
In addition to base compensation, Meta offers benefits.
Learn more about benefits at Meta.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Equal Employment Opportunity Metais proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
If you need assistance or an accommodation due to a disability, fill out the Accommodations request form Notice regarding automated employment decision tools in New York City Learn more about this here.
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申请条件

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Degree must be completed prior to joining Meta.
3+ years of experience as a software engineer or site reliability engineer.

雇主简介

Meta 是一家全球领先的科技公司,专注于社交媒体、虚拟现实和人工智能。其视频智能团队致力于推进视频生成和理解技术,以支持创新的 AI 驱动视频创作体验。

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