2 months ago
Austin, TX, USA or Menlo Park, CA, USAMid Level
H1B sponsor
Base Salary
$114k - $167k/yr
Responsibilities
- Provide proactive and reactive engineering support for global partners and integrations, including independently managing complex outages.
- Troubleshoot large-scale distributed systems and partner integrations while maintaining code quality and operational standards.
- Use AI tools to accelerate troubleshooting, automate repetitive tasks, and scale support impact.
- Develop performance monitoring systems for partner integrations, use metrics to identify issues, and drive improvements.
- Provide 24/7 on-call support through a rotation that includes weekends.
- Collaborate with Platform and Infrastructure teams to investigate issues, agree on fixes, and improve products and deployments.
- Create technical documentation, specifications, guides, and presentations for technical and nontechnical audiences.
- Drive end-to-end initiatives, manage stakeholder expectations, communicate AI concepts, and mentor other engineers.
- Analyze trends and opportunities, recommend tactical improvements, and share operational knowledge across the team.
Requirements
- Currently hold or be pursuing a bachelor’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience, with completion required before joining Meta.
- Have at least 3 years of experience as a software engineer or site reliability engineer.
- Have proven experience as a support engineer, service engineer, or similar role.
- Have experience developing, deploying, and operating software in public cloud infrastructures such as Azure, GCP, or AWS.
- Have proven experience developing APIs on cloud-based infrastructures.
- Be proficient in full-stack development, including the full web stack, SOAP, and REST API technologies and architectures.
- Have experience communicating with technical and business audiences and creating technical documentation.
- Have experience with IT infrastructure, multilayer network protocols, and data exchange formats and protocols.
- Have experience assessing, analyzing, and resolving operational issues using data.
- Have experience managing concurrent projects and driving initiatives in cross-functional environments.
- Preferred qualifications include responsible and ethical AI practices, prompt/context engineering, agent orchestration, large language models, AI agents, model selection and deployment, workflow optimization, and distributed international engineering teams.
- Preferred qualifications include experience with Kubernetes, Kubeflow, and Docker containers.
Benefits
- Annual base salary of $114,000 to $167,000, plus bonus, equity, and benefits.
- 24/7 on-call coverage is provided through a rotation schedule, including weekends.
- Work involves collaboration with global, geographically distributed teams and international partners.
Tech Stack
Categories
Solutions Engineering
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.