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Platform Engineer

AI-enabled manufacturer focused on data center infrastructure assembly operations using proprietary AI-based robotics and software.
$160,000 - $190,000
DevOps
Senior Software Engineer
Hybrid
5+ years of experience
AI · Enterprise SaaS · Robotics

Job Description

Bright Machines is revolutionizing manufacturing through intelligent, software-driven automation. As a Platform Engineer, you'll be at the forefront of transforming the future of manufacturing, working with cutting-edge technology to create the factory of the future. The role involves designing, building, and operating scalable, secure infrastructure while driving monitoring, alerting, CI/CD pipelines, and developer experience tooling.

The company's technology stack is comprehensive, including on-prem compute and networking, AWS and Azure cloud, Terraform, ArgoCD, Kubernetes, GitLab, and observability tools like Grafana, Prometheus, and OpenTelemetry. You'll work closely with R&D teams on software-defined automation solutions for modern factories, handling both on-prem infrastructure and cloud-native applications.

Bright Machines has been recognized as one of Forbes' AI 50 and awarded "Best AI-based Solution for Manufacturing" by AI Breakthrough. The company is headquartered in San Francisco with an integration center in Guadalajara, Mexico. This role offers the opportunity to make lasting, impactful changes for the company and its customers, working with a team of innovators and experts who are creating a new category of manufacturing.

The position requires strong technical expertise in platform engineering, with emphasis on infrastructure automation, CI/CD systems, and observability solutions. You'll be responsible for maintaining high system performance and security while collaborating with various teams to accelerate development of mission-critical industrial manufacturing applications. The role offers competitive compensation and the chance to work with cutting-edge technology in the intersection of AI, robotics, and manufacturing.

Last updated 3 days ago

Responsibilities For Platform Engineer

  • Design, implement, and maintain reliable, scalable, and secure infrastructure
  • Own and improve platform engineering tools and services, including documentation
  • Automate infrastructure provisioning, configuration management, and deployment pipelines
  • Manage CI/CD systems
  • Implement and operate observability solutions
  • Enforce security best practices
  • Participate in on-call rotation

Requirements For Platform Engineer

Python
Kubernetes
Linux
  • Bachelor's or master's degree in computer science, engineering, or related field
  • 5+ years of experience in Platform Engineering, DevOps, or 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
  • Familiarity with observability stacks

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