Production Engineer

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently.PEs work across Meta’s product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide.Our PEs are embedded in teams across the spectrum — from products like Instagram, WhatsApp, Oculus, and Videos to critical backend services such as Storage, Cache, and Networking. The team brings together diverse levels of experience and backgrounds. Working alongside experienced engineers across the organization, you’ll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at Meta, we solve novel engineering problems daily — solving problems at a scale few others face. Production Engineer Responsibilities: Own the end-to-end reliability and scalability of the platforms, services, and products built on top of Meta’s underlying infrastructure and networkWrite and review code, develop documentation and capacity plans, and debug the hardest problems, on some of the largest and most complex systems in the worldTogether with your engineering team, you will share an on-call rotation and be an escalation contact for live service incidentsPartner with engineers across the organization on high-impact production systems, the code and systems you work on will be in production and used by billions of users all around the world Minimum Qualifications: 4+ years experience with software development, frameworks and APIs4+ years experience coding in higher-level languages (e.g., PHP, Python, C++, Rust or Java)Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience4+ years of experience building, maintaining, and debugging production services/platforms such as cloud infrastructure, load balancers, relational databases, and messaging systems Preferred Qualifications: Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Depth of understanding in areas such as operating systems or TCP/IP network fundamentalsExperience with distributed web-scale and data systemsDemonstrated 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 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. 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.