Staff Platform Engineer

Brightmachines; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Bright Machines is pursuing a Platform Engineer to design, build, and operate scalable, secure infrastructure powering AI-enabled manufacturing solutions. You will work with Platform Engineering, R&D, and Operations to shape the core platform, with a stack spanning on-prem networks, Kubernetes, Terraform, ArgoCD, and cloud providers.

You will own CI/CD pipelines, observability, and secure deployments while driving developer experience tooling and cross-team collaboration.

Qualifications

• 5+ years of Platform Engineering, DevOps, or SRE experience.
• Strong experience with physical infrastructure, including networking gear and servers.
• Proficiency with Terraform and Ansible.
• Kubernetes expertise, including Helm.
• Experience with AWS/Azure/GCP.
• Hands-on Python and Shell scripting.
• Understanding Linux internals and system administration.
• Experience with IaC and GitOps workflows.
• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Knowledge of bare-metal provisioning (MaaS or similar).

Responsibilities

• Design, implement, and maintain reliable, scalable infrastructure for applications and automation systems.
• Own and improve platform engineering tools and services, including documentation.
• Automate infrastructure provisioning, configuration management, and deployment pipelines.
• Manage CI/CD systems to enable reliable software delivery.
• Implement and operate observability (logging, monitoring, alerting).
• Enforce security best practices including vulnerability management and incident response.
• Participate in on-call rotation for Platform Engineering services.

Skills

Python

Shell scripting

Linux administration

CI/CD workflows

GitOps

On-call readiness

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Terraform

Ansible

Kubernetes

Helm

ArgoCD

GitLab

Grafana

Prometheus

OpenTelemetry

MaaS / Bare-metal provisioning

AWS

Azure

GCP

Job description

RETHINK MANUFACTURING

Theonly way toignite changeis to build the best team. At Bright Machines®,we’reinnovators and experts in our craft who have joined together tomanufacturetheAI and data center infrastructureat the edge. We believeunifyingsoftware, intelligent automation, anddataisthe answerto delivering qualityand flexibilityatscale. We deliver products to meet the demands of today whilecontinuously investing in our Bright Factory modelto take advantage of what comes next.

Working with us meansyou’llhave the opportunity to make lasting, impactful changes for our company and our customers. Ifyou’reready to apply your exceptional skills toa brighter way of manufacturing AI infrastructure,we’dlove 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.

• 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.
• 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).
• 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 infrastructureproduction. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) forhyperscalers, neoclouds,andleading Original Equipment Manufacturers (OEMs) to reduce their time to revenue. With itsBright Factory model, Bright Machinesbuildshigher qualitydata center infrastructure at scale,addresses increasing market demands for computing power due to the surge ofAI,andanswers 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.