Skip to content

Open nowPosted 4 days ago

Staff Platform Engineer

Bright Machines16 open roles

Pay
$180,000 – $220,000 a year
Where
San Francisco, California
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowStaff Platform EngineerBright Machines · San Francisco, California
  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 Bright Machines'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.

7.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.5%1 day
  2. 3.5%3 days
  3. 7.4%7 days
  4. 13.2%14 days
  5. 34.6%30 days
This job: posted 4 days ago

The posting

RETHINK MANUFACTURING

The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent automation, and data is the answer to delivering quality and flexibility at scale. We deliver products to meet the demands of today while continuously investing in our Bright Factory model to take advantage of what comes next.

Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to a brighter way of manufacturing AI infrastructure, we’d love to speak with you.

ABOUT THE ROLE

At Bright Machines, we are transforming the future of manufacturing with intelligent, software-driven automation. Our applications help designers create products that are optimized for automated assembly, making factories more efficient and effective.

As a Platform Engineer, you will design, build, and operate scalable, secure infrastructure while driving monitoring, alerting, CI/CD pipelines, and developer experience tooling that accelerate development and automation of complex, mission-critical industrial manufacturing applications. Working closely with the Platform Engineering team, R&D, and Operations, you will play a key role in shaping and maintaining the core platform that powers our automation solutions.

Our technology stack includes on-prem compute and networking, AWS and Azure cloud, Terraform (IaC), ArgoCD, Kubernetes (self-hosted and managed), GitLab and observability tools such as Grafana, Prometheus, and OpenTelemetry.

This is an exciting opportunity to work with R&D teams designing & building software-defined automation solutions for modern factories. Our integrated solution consists of both on-prem infrastructure like full network stack (with switches, routers, firewalling) and Cloud-native software applications running on-prem and in the Cloud to operate and monitor the robotic assembly lines.

WHAT YOU WILL BE DOING

  • Design, implement, and maintain reliable, scalable, and secure infrastructure to support applications and automation systems.
  • Own and continuously improve platform engineering tools and services, including documentation and cross-team communication.
  • Automate infrastructure provisioning, configuration management, and deployment pipelines.
  • Manage CI/CD systems to enable efficient and reliable delivery of software.
  • Implement and operate observability solutions (logging, monitoring, alerting) to ensure uptime and system performance.
  • Enforce security best practices, including vulnerability management and incident response readiness.
  • Participate in the on-call rotation for services owned by the Platform Engineering team.

WHAT WE WANT TO SEE

  • Bachelor's or master's degree in computer science, engineering, or a related technical field
  • At least 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
  • Strong experience with physical infrastructure, including networking equipment and servers.
  • Proficiency with CI/CD tools and GitOps workflows.
  • Hands-on coding experience in Python and Shell scripting.
  • Solid understanding of Linux internals and system administration.
  • Experience with public cloud providers (AWS, Azure, or GCP).
  • Proficiency with Infrastructure as Code tools (Terraform, Ansible).
  • Deep knowledge of Kubernetes (self-hosted and managed), including Helm.
  • Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).

IT WOULD BE NICE IF YOU HAD

  • Experience with bare-metal provisioning (MaaS or similar)

BE EMPOWERED TO CHANGE AN INDUSTRY

Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure production. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers, neoclouds, and leading Original Equipment Manufacturers (OEMs) to reduce their time to revenue. With its Bright Factory model, Bright Machines builds higher quality data center infrastructure at scale, addresses increasing market demands for computing power due to the surge of AI, and answers the call to the U.S. national mandate to reshore manufacturing.

Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.

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 Bright Machines'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 Bright Machines'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

    Bright Machines'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.

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.