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Production Engineer

Meta
Posted 4 months ago, valid for 16 days
Location

Bellevue, King 98009, WA

Salary

$60,000 - $72,000 per year

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Contract type

Full Time

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Sonic Summary

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  • Meta Platforms, Inc. is seeking a software engineer with a Bachelor's degree in a related field and at least 1 year of experience in software development and debugging.
  • The role involves developing and maintaining back-end infrastructure components, ensuring optimal performance, and collaborating across teams on complex projects.
  • Candidates should have experience with distributed systems, coding in languages like Python or C++, and familiarity with Infrastructure as Code (IaC) tools such as Chef.
  • The position requires knowledge of network protocols and the ability to manage widely distributed binaries and services while upholding security standards.
  • Salary details are not specified, but the position demands a strong technical background and experience in high-throughput, large-scale distributed systems.
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.

Responsibilities

  • Develop, design, create, modify, and/or test software services to ensure optimal performance and capacity for growth.
  • Own back-end 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.
  • Design and operate widescale services according to strict reliability, security, and performance requirements.
  • Serve as an escalation contact for service incidents.
  • Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
  • Exercise judgment within defined procedures and practices to determine appropriate action.
  • Collaborate on and/or drive consensus within projects spanning multiple job roles and teams.


Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 1 year of experience in the job offered or a related occupation
  • Requires 1 year of experience in the following areas:
  • Developing, managing, and debugging large (million level) fan-out, high throughput distributed systems
  • Familiarity with distributed coordination systems like Apache Zookeeper
  • Coding in higher-level languages (e.g., Python, C++)
  • Managing and maintaining widely distributed binaries
  • Proficiency in Infrastructure as Code (IaC), including utilizing tooling like Chef
  • CI/CD utilization and implementation
  • Dependency management of software systems
  • Recoverability assessment/testing of low dependency services
  • Experience in upholding security standards of distributed systems
  • Internet service architectures (such as load balancing, LAMP, or CDN’s)
  • Configuring and maintaining applications using at least one of the following: web servers, load balancers, relational databases, storage systems, or messaging systems
  • Network protocols including at least one of the following: NFS, DHCP, NTP, SSH, DNS, or SNMP Relational Databases including MySQL
  • High performance embedded database like rocksdb
  • Network Management tools like DHCP, NTP, SSH, DNS, or SNMP
  • Experience utilizing high performance query engines (Presto or Spark) for big data
  • RPC framework such as Apache Thrift
  • Algorithms and data structures
  • Asynchronous programming
  • The ability to lead and drive projects across multiple teams
  • UNIX or Linux operating system fundamentals
  • TCP/IP network fundamentals
  • Software frameworks and APIs
  • Diagnosing and troubleshooting issues ranging from low-level hardware issues to large scale failures within datacenter clusters



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