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Job Description
Production Engineer at Meta
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 some of the best engineers in the industry, you’ll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at Meta, we navigate uncharted waters daily — solving problems at a scale few others face.
Production Engineering Responsibilities:
- Own back-end services which handle fleet management, front-end services such as WhatsApp / Instagram / Facebook / Meta Ads, infrastructure components that drive Meta’s advances in AI, core services which are used by every team at Meta, the world’s largest MySQL deployments, networking systems and everything in between.
- Write and review code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the world.
- Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents.
- Partner alongside the best engineers in the industry working on the coolest stuff around; the code and systems you work on will be in production and used by billions of people all around the world.
Minimum Qualifications:
- Knowledge of common web technologies and/or Internet service architectures (such as LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.).
- Experience with Internet service architecture capacity planning and/or handling needs for urgent capacity augmentation.
- Experience configuring and running infrastructure level applications, such as Kubernetes, Terraform, MySQL, etc.
- 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.
- 2+ years of coding experience in an industry-standard language (e.g. Java, Python, C++, PHP/Hack, Rust, Go).
- Experience learning software, frameworks and APIs.
- 2+ years of experience in *nix (Linux or another UNIX-like OS) and Network fundamentals.
Preferred Qualifications:
- BS or MS in Computer Science.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
- 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.
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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$122,000/year to $181,000/year + bonus + equity + benefits
Key skills/competency:
- Production Engineering
- Software Engineering
- Infrastructure
- System Reliability
- Backend Services
- Web Technologies
- Capacity Planning
- Kubernetes
- MySQL
- AI Integration
How to Get Hired at Meta
- Tailor your resume: Highlight experience with web technologies, internet service architectures, capacity planning, and infrastructure applications like Kubernetes and MySQL.
- Showcase coding skills: Emphasize your 2+ years of coding experience in languages like Java, Python, C++, or Go, and your understanding of *nix and network fundamentals.
- Demonstrate AI proficiency: If applicable, detail your experience integrating AI tools to optimize workflows and your commitment to ethical AI practices.
- Prepare for technical interviews: Be ready to discuss common web technologies, internet service architectures, and debugging complex production systems.
- Research Meta's culture: Understand Meta's mission and values to align your application and interview responses.
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