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About the Role
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. You will play a key role in shaping and maintaining the core platform that powers our automation solutions.
Responsibilities
- 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.
Requirements
- 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)
Skills
- Python
- Shell scripting
- Linux
- AWS
- Azure
- GCP
- Terraform
- Ansible
- Kubernetes
- Helm
- Prometheus
- Grafana
- OpenTelemetry
- CI/CD
- GitOps
- Networking
- Servers
- MaaS
Location
- San Francisco, California
- Guadalajara, Mexico
Work Type
- Onsite
- Full-time
Experience Level
- 5+ years
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- $180,000 - $220,000
About the Company
- 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.
- 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.