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Production Engineer
| Company | Meta |
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| Location | Menlo Park, CA, USA |
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| Salary | $178360 – $200200 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Junior, Mid Level |
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Requirements
- Requires a Master’s degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in job offered or computer-related occupation
- Requires two years of experience 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, or C++ 4. Software frameworks and APIs 5. Internet service architectures (such as load balancing, LAMP, or CDN’s) 6. Configuring and maintaining applications using at least one of the following: web servers, load balancers, relational databases, storage systems, or messaging systems 7. Relational Databases including MySQL 8. Network protocols including at least one of the following: NFS, DHCP, NTP, SSH, DNS, or SNMP 9. Network Management tools like DHCP, NTP, SSH, DNS, or SNMP 10. Diagnosing and troubleshooting issues ranging from low-level hardware issues to large scale failures within datacenter clusters 11. Experience utilizing high performance query engines (Presto or Spark) for big data, including construction of new data pipelines 12. Service meshes and microservice architectures (Envoy, Istio, or Linkerd) 13. Experience with integration testing, including failure injection (Chaos monkey style architectures) 14. Experience building predictive data pipelines, analyzing past event data to probabilistically determine future events.
Responsibilities
- 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.
Preferred Qualifications
No preferred qualifications provided.
