Network Engineer, Foundation & Support

Meta; Denver (CO); On-site; USD 162,000 - 227,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

Meta is seeking an experienced Network Engineer in Denver, Colorado to support its Edge and Network Services team. This role focuses on improving network efficiencies through automation in a global environment. Ideal candidates have over 10 years of experience and a solid background in network technologies, AI tools, and system integration.

The position offers a competitive salary, bonus, equity, and benefits, ensuring employees thrive both personally and professionally. Join us to be an integral part of innovating global networking at Meta.

Qualifications

• 10+ years of experience in Automation in large scale networks.
• Experience leveraging AI-assisted tools for software development.
• Knowledge and experience with Optical, Layer 2, and Layer 3 technologies.

Responsibilities

• Drive initiatives for efficiency improvements in network processes.
• Collaborate with teams to automate workflows for pre-deployment activities.
• Perform troubleshooting and engage with cross-functional teams.

Skills

Knowledge of Linux OS/networking

AI-assisted tools

Network devices (routers, switches, load balancers)

Python

Education

Bachelor's degree in Computer Science or related field

Job description

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.

Network Engineer, Foundation & Support Responsibilities

• Drive initiatives to enhance efficiency through tooling improvements in the pre-deployment domain for Backbone, Edge, and Optical
• Collaborate with internal and cross functional partner teams to define and automate optimal workflows for network pre-deployment activities
• 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)
• Proactively find gaps that impact multiple teams/orgs, come up with the execution plan, drive the project, and influence other teams to implement initiatives
• 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
• Work with developers and program managers to design and prioritize tooling enhancements and fixes
• Help with roadmapping to identify and address key challenges
• Help with recruiting and onboarding of new members to the team. Help them by mentoring and assuring their quick ramp up within our environment
• Perform detailed troubleshooting and engage with cross functional teams to fix system/tooling issues
• Drive requirements with cross functional teams to align our internal tooling efforts
• Help make the people around you move faster by identifying issues slowing the team down and driving changes to address them

Minimum Qualifications

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

Preferred Qualifications

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

Equal Employment Opportunity Statement

Meta is proud to be an Equal Employment Opportunity and Affidavit employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$162,000/year to $227,000/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.