Production Engineer
Bellevue, WA
Meta
Giving people the power to build community and bring the world closer together
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.Production Engineer Responsibilities
182.002 $/year to 200.200 $/year + bonus + equity + benefits
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.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
- Develop, design, create, modify, and/or test software services to ensure optimal performance and capacity for growth.
- Own back-end data warehouse services, front-end services like
Messenger and Newsfeed, and infrastructure components to ensure services run without incident. - Write and review code, develop documentation and capacity plans, and debug the
problems in real time in highly complex software systems. - Serve as an escalation contact for service incidents.
- Work on problems of diverse scope where analysis of data requires
evaluation of identifiable factors. - Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
- Build a scalable, efficient, data-driven and reliable platform that empower Machine Learning engineers to own the Machine-Learning training lifecycle end-to-end.
- Reduce the complexity and friction in machine learning models training in production.
- Create and validate growth of models for various services to ensure the long-term sustainability of Meta’s services and products.
- Requires a Master’s degree in Mobile and Internet of Things Engineering, Computer Science, Computer Engineering, Computer Software, Electronics Engineering, Applied Sciences,
Mathematics, Physics or related field - Requires completion of a university-level course, research project, internship, or thesis in the following:
- 1. UNIX or Linux operating system fundamentals
- 2. TCP/IP network fundamentals
- 3. Coding in at least one of the following higher-level programming languages: PHP, Python, C++, or Java
- 4. Software frameworks and APIs
- 5. Performing 'guerilla capacity planning' for internet service architectures
- 6. Internet service architectures (such as load balancing, LAMP, or CDN’s)
- 7. Configuring and maintaining applications using at least one of the following: web servers, load balancers, relational databases, storage systems, or messaging systems
- 8. Relational Databases including MySQL
- 9. Network protocols including at least one of the following: NFS, DHCP, NTP, SSH, DNS, or SNMP
- 10. Maintaining web-based applications using at least one of the following: Apache, Redis Cache, Memecached, or Squid
- 11. Storage Systems including NFS
- 12. Network Management tools like DHCP, NTP, SSH, DNS, or SNMP
- 13. Diagnosing and troubleshooting issues ranging from low-level hardware issues to large scale failures within datacenter clusters
- 14. Experience utilizing high performance query engines (Presto, Splunk or Spark) for big data
182.002 $/year to 200.200 $/year + bonus + equity + benefits
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.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Categories:
Engineering Jobs
Product Jobs
Tags: APIs Architecture Big Data Computer Science Data warehouse Engineering Java Linux Machine Learning Mathematics ML models MySQL PHP Physics Python RDBMS Research Spark Splunk VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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