Note: The job is a remote job and is open to candidates in USA. Meta builds technologies that help people connect, find communities, and grow businesses. Production Engineers develop and operate the infrastructure supporting Meta’s products and services, writing code, solving live production problems, and ensuring reliability, scalability, and performance. The role involves system ownership, incident response, capacity planning, and optimization across products, backend services, networking, databases, and AI infrastructure.
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, leverage best-in-industry AI tools to land and productionize 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
- Establish ownership of systems with expert end-to-end understanding
- Analyze and optimize code for quality, scalability, efficiency, and performance
Skills
- 6+ years of experience in *nix (Linux or another UNIX-like OS) and Network fundamentals
- 6+ years of coding experience in an industry-standard language (e.g. Java, Python, C++, PHP/Hack, Rust, Go)
- Experience learning software, frameworks and APIs
- Experience with Internet service architecture capacity planning and/or handling needs for urgent capacity augmentation
- Knowledge of common web technologies and/or Internet service architectures (such as LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.)
- Experience configuring and running infrastructure level applications, such as Kubernetes, Terraform, MySQL, etc
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- 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)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Company Overview