Network Engineer, Foundation & Support

Meta; Reston (VA); On-site; USD 162,000 - 227,000; Full time

Benefits offered by this job

Bonus

Equity

Comprehensive benefits

Job summary

Meta is seeking an engineer to join its Edge and Network Services team in Reston, Virginia. This role emphasizes enhancing efficiency through automation while deploying and supporting robust networks. The successful candidate will have 10+ years of experience in networking automation and be integral to shaping the future of AI/ML applications at Meta.

Compensation ranges from $162,000 to $227,000 annually, supplemented by bonuses, equity, and benefits.

Qualifications

• 10+ years of experience in Automation within large scale Networks.
• Experience working with Optical, Layer 2, and Layer 3 technologies.
• Global team experience in a fast-paced environment.

Responsibilities

• Drive initiatives to enhance efficiency through tooling improvements.
• Collaborate with teams to automate optimal workflows.
• Conduct detailed troubleshooting and facilitate solutions.

Skills

Linux OS/networking

Automation in Networking

REST APIs

Network devices (routers, switches, load balancers)

AI-assisted tools for software development

Python

Education

Bachelor's degree in Computer Science or equivalent

Tools

AI tools for workflow optimization

C, C++, Go or Rust

Job description

Summary

Meta is looking for an engineer to join the Edge and Network Services team. This team is responsible for processes and systems for deploying and supporting one of the world's largest, most complex, and robust networks. Automation is the key to meeting our demands; you will be responsible for executing on our vision for designing, deploying, and operating our networks supporting AI/ML applications. As a member of this team, you will have a unique opportunity to be involved in all aspects of global networking at Meta.

Required Skills

1. Drive initiatives to enhance efficiency through tooling improvements in the pre-deployment domain for Backbone, Edge, and Optical
2. Collaborate with internal and cross functional partner teams to define and automate optimal workflows for network pre-deployment activities
3. Automation and integration into existing tooling eco-system which involves planning and pre-deployment activities (such as design bootstrapping, engineering design package generation, bill of materials (BOM) creation etc)
4. Proactively find gaps that impact multiple teams/orgs, come up with the execution plan, drive the project, and influence other teams to implement initiatives
5. Work with partner teams, understand their challenges, help them find a solution natively or lead effort working with cross functional teams to deliver systems/platforms/tooling
6. Work with developers and program managers to design and prioritize tooling enhancements and fixes
7. Help with roadmapping to identify and address key challenges
8. Help with recruiting and onboarding of new members to the team. Help them by mentoring and assuring their quick ramp up within our environment
9. Perform detailed troubleshooting and engage with cross functional teams to fix system/tooling issues
10. Drive requirements with cross functional teams to align our internal tooling efforts
11. Help make the people around you move faster by identifying issues slowing the team down and driving changes to address them

Minimum Qualifications

1. Knowledge of Linux OS/networking
2. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3. 10+ years of experience Automation experience in the Networking domain in large scale networks
4. Knowledge and experience with REST APIs
5. Experience with network devices (routers, switches, load balancers)
6. Experience leveraging AI-assisted tools (e.g., claude, Copilot, code generation models) for software development and coding efficiency
7. Knowledge and experience with Optical, Layer 2, and Layer 3 technologies
8. Knowledge and experience in Python
9. Experience working within a global team in a fast-paced and dynamic environment with limited supervision

Preferred Qualifications

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
4. Knowledge and experience in C, C++, Go or Rust
5. Knowledge of technology-agnostic approach to engineering
6. MS or Graduate work experience in Computer Science, Computer Engineering, or a related technical discipline
7. Experience with developing or operating distributed systems at scale

Public Compensation

$162,000/year to $227,000/year + bonus + equity + benefits

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affi ...