Production Engineer

Meta; Bellevue (WA); On-site; USD 219,000 - 301,000; Full time

Job summary

Meta is seeking Production Engineers to join teams responsible for the core infrastructure powering WhatsApp, Instagram, Facebook, and Meta Ads. You will own back-end services, help scale systems to billions of users, and drive high-impact improvements across multiple platforms.

You will mentor teams, leverage AI-assisted tooling, and contribute to production-ready code and capacity plans while maintaining reliability and performance of critical services in production.

Qualifications

• 10+ years of experience in Unix/Linux and network fundamentals.
• 10+ years of coding experience in Java, Python, C++, PHP/Hack, Rust, Go or similar.
• Experience learning software, frameworks and APIs.
• Experience with internet service architecture capacity planning.
• Knowledge of web technologies and internet service architectures (LAMP/ MEAN, CDN, Load Balancing).
• Experience configuring and running infrastructure level applications (Kubernetes, Terraform, MySQL).
• Bachelor's degree in CS/CE or equivalent practical experience.

Responsibilities

• Own back-end services and infrastructure components across Meta's platforms.
• Mentor and lead the engineering team, acting as a force multiplier.
• Write and review code, leverage AI tools, produce documentation and capacity plans, debug live systems.
• Participate in on-call rotation and incident escalation.
• Collaborate with other teams on production-grade code and systems.
• Analyze and optimize code for quality, scalability, and performance; establish ownership of systems.

Skills

Unix/Linux

Networking fundamentals

Coding experience

Web technologies

Kubernetes

Terraform

MySQL

Bachelor's degree

Education

Bachelor's degree in CS/CE or related field

Tools

Kubernetes

Terraform

MySQL

Job description

Summary:

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.

Required Skills:

Production Engineer Responsibilities:

1. 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

2. Lead your engineering team by example, mentor and help others around you grow, be a force multiplier of impact

3. 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

4. Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents

5. 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

6. Analyze and optimize code for quality, scalability, efficiency, and performance Establish ownership of systems with expert end-to-end understanding

Minimum Qualifications:

Minimum Qualifications:

1. 10+ years of experience in *nix (Linux or another UNIX-like OS) and Network fundamentals

2. 10+ years of coding experience in an industry-standard language (e.g. Java, Python, C++, PHP/Hack, Rust, Go)

3. Experience learning software, frameworks and APIs

4. Experience with Internet service architecture capacity planning and/or handling needs for urgent capacity augmentation

5. Knowledge of common web technologies and/or Internet service architectures (such as LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.)

6. Experience configuring and running infrastructure level applications, such as Kubernetes, Terraform, MySQL, etc

7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:

Preferred Qualifications:

1. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

2. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

3. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Public Compensation:

$219,000/year to $301,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and 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 [e-mail].