Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 14 hours ago

Production Network Engineer, Design

Meta1,336 open roles

Pay
$184,000 – $257,000 a year
Where
Denver, CO; Menlo Park, CA; Seattle, WA; New York, NY
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowProduction Network Engineer, DesignMeta · Denver, CO; Menlo Park, CA; Seattle, WA; New York, NY

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Meta's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 14 hours ago

Meta median: 35 days open

The posting

The Network Infrastructure team is responsible for designing, building, and operating one of the largest networks in the world. Networking is at the core of all Meta products and experiences, and we are looking for Network Production Engineers who are interested in solving complex technical challenges in the Backbone, Datacenter, and AI Network domains.

The scale of the network and its continuous expansion presents an opportunity to work on and solve interesting engineering challenges in the datacenter network domain. We create new and innovative ways of designing and operating our global datacenter networks and do it at scale with efficiency.

Production Network Engineers at Meta are hybrid software and network engineers who design, build, and operate our worldwide network. This team owns the complete lifecycle of the network, which includes areas of planning, design, product definition, QA, deployment, and monitoring. Simple, elegant, and scalable network design, automation, and data analytics are the keys to meeting our demands. In this role, you will be part of a team that is responsible for conceiving design solutions, developing and deploying network software, systems, and tools that keep the network operating at maximum reliability, scalability, and efficiency.

This role offers an opportunity to solve the scaling challenges of supporting billions of people using our family of apps, as well as to tackle cutting-edge challenges in AI workloads that power new Meta products.

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 their goals
  • 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
  • An engineering degree, or a related technical discipline, or equivalent experience
  • 8+ years of relevant experience developing scalable and reliable systems and/or networks
  • Experience in the configuration and maintenance of network devices and NMS systems, or applications such as web servers, load balancers, relational databases, storage systems, and messaging systems
  • Experience in developing and understanding network device configurations for at least one vendor (Juniper, Cisco, Arista, Brocade, etc.)

Preferred Qualifications

  • Experience working with network hardware, optics, and fiber connectivity products, including evaluating trade-offs between different hardware architectures
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Ability to leverage AI-assisted workflows to accelerate design population, automate testing, and innovate tooling—measurably improving quality and delivery speed
  • Ability to develop and maintain fiber connectivity solutions using automation tools, ensuring data integrity across design-to-deployment pipelines and streamlining workflows between design systems and infrastructure databases
  • Understanding of Physical Network Infrastructure including rack solution design, inter-rack and intra-rack fiber connectivity design, including automation of design synthesis to design and deliver Physical Design Plans (PDPs) for complex backend and frontend network topologies, including AI/GPU cluster fabrics, ring interconnects, and backbone aggregation layers
  • Ability to collaborate cross-functionally with deployment and operations teams to resolve BOM variances, validate configurations, and deliver production-ready network builds on aggressive timelines
  • Experience coding in higher-level languages (e.g., Python, C++, Go, Rust, etc.). Experience in learning software, frameworks, and APIs
  • Ability to collaborate with NPI teams to drive NPI qualification for new network platforms and optics, applying a principled framework to determine testing depth—from full end-to-end validation to targeted feature qualification
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
  • Experience with network topologies, including scale-out and scale-up fabrics, multi-planar solutions, disaggregated solutions, and their tradeoffs, including high-level and low-level topological and configuration design artifact rendering
  • Experience with routing protocols and routing design, including design synthesis and verification frameworks. Ability to deploy centralized and hybrid routing solutions
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

US: $184,000/year to $257,000/year + bonus + equity

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Meta's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Meta's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Meta's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.