Meta is seeking an experienced Production Systems Engineer to join their Foundation Labs team, focusing on automation and infrastructure development. This role is crucial in accelerating hardware development at Meta, requiring expertise in building and maintaining automated systems across multiple geographical regions.
The position involves developing automation frameworks that enable seamless hardware development from engineering labs to Data Center production environments. The ideal candidate will be responsible for creating and maintaining test tools, improving system reliability, and ensuring efficient remote access to lab resources.
As a Production Systems Engineer, you'll work with cutting-edge technology in Meta's infrastructure team, contributing to the company's mission of connecting people through various platforms and technologies. The role offers competitive compensation ranging from $163,000 to $225,000 annually, plus bonus and equity opportunities.
Key responsibilities include building test tools and automation frameworks, improving system reliability, and enabling remote access to lab resources. The position requires strong technical skills in Python, Linux systems, and experience with automation tools. You'll be working in Meta's dynamic environment, where fast-paced innovation and problem-solving are essential.
The ideal candidate will have at least 4 years of experience as a Software Systems Professional, strong programming skills, and experience with Linux environments. Additional experience with JavaScript, PHP, REST, GraphQL, and MySQL would be advantageous. This role offers an exciting opportunity to work on large-scale infrastructure projects while contributing to Meta's future technological advancements.
Meta provides a comprehensive benefits package and promotes an inclusive work environment, making it an attractive opportunity for experienced engineers looking to make an impact in a leading tech company. The position is based in the San Francisco Bay Area and offers the chance to work with cutting-edge technology while solving complex problems in varied, small to hyper-scale environments.