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 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 containersMeta builds technologies that help people connect, find communities, and grow businesses. 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 teamCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.