
Network Production Engineer, DC Frontier
Required skills
- Network Infrastructure
- Backbone
- Datacenter
- AI Network
- Scalable Network Solutions
- Automation
- Product Introduction
- Network Deployment
- Release Engineering
- Hardware Platforms
Nice to have
- AI Skill Development
- Prompt Engineering
- Agent Orchestration
- AI Technologies
- AI Tools
- Responsible AI
Role summary
Meta's Network Infrastructure team seeks a Network Production Engineer to design, build, and operate large-scale networks across Backbone, Datacenter, and AI domains. This hybrid role involves creating innovative network designs, developing automation tools for deployment and operations, and ensuring maximum reliability and efficiency. Responsibilities include establishing best practices, leading automation enhancements, investigating complex technical issues, and improving operational workflows. The role requires a Bachelor's degree or equivalent experience, 6+ years in network/systems planning and operations, proficiency in a programming language like Python, and knowledge of TCP/IP, routing protocols, and network device configuration. Preferred qualifications include AI skill development and experience with modern data center architectures.
Responsibilities
- Establish and implement global best practices and design new scalable network solutions
- Conceptualize, build, and maintain automation and tools to support new product introductions, network deployment, release engineering, and operations
- Design and develop solutions that scale across a variety of hardware platforms of network equipment
- Lead enhancements of automation for continuous integration, validations, testing infrastructure, release, and configuration management across our global backbone, data center, and edge networks
- Work closely with our hardware, software, and sourcing teams to develop new networking solutions and influence the future of networking and its associated infrastructure
- Conduct thorough investigations into complex technical issues across networks, ranging from automated tooling to hardware failures and network issues
- Develop operational process improvements and implement them in scalable, automated workflows to enhance operational efficiency
- Help increase operational efficiency between peers and cross-functional teams by identifying roadblocks, designing and delivering automation solutions, and driving change
- Proactively find gaps that impact multiple teams, come up with the execution plan, drive the project, and influence other teams to reach there
- Participate in an on-call rotation to learn from real-world production challenges and take the lessons to improve current and future generation products
- Contribute to team growth and development through peer mentorship
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 6+ years of experience planning, designing, building, and/or operating scalable and reliable systems and/or networks
- Experience coding in at least one programming language (e.g., Python, C++, Go, Rust, or Java) and rapidly learning new development languages, software, frameworks, and APIs
- Demonstrated knowledge of TCP, IPv4/6, Routing Protocols (one or more of BGP, MPLS, ISIS, or similar), and related network services (e.g., DHCP and DNS)
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience developing and understanding network device configuration in multi-vendor environments (Juniper, Cisco, Arista, Brocade, etc.)
- Experience in configuration and maintenance of network devices and NMS systems, or applications such as web servers, load balancers, relational databases, storage systems, and messaging systems
- Hardware evaluation and vendor management experience
Preferred Qualifications
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- 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)
- Modern data center architectures (spine-leaf, fabric)
- 1+ years of experience in routing and switching domain, especially in operating scalable and reliable systems and/or networks
- Experience managing multiple projects simultaneously and deliver against deadlines
- 4 years experience in network automation software leveraging software defined networking principles
- Experience working in global team environments to solve problems
$154,000/year to $217,000/year + bonus + equity + benefits
Similar roles
Partner Engineer, Payments & Financial TechnologiesMeta · San Francisco, CA · Onsite
Construction Manager, RetailMeta · Remote · Remote
Network Production Engineer, DesignFacebook · Menlo Park, CA · Onsite- Staff Network Production Engineer, OperationsCRUSOE · San Francisco · Onsite
Senior Network Production Engineer, AI SupercomputingMicrosoft AI · Mountain View · Onsite- Manager, Software Engineering - Production EngineeringFigma · Remote · Remote
