Staff Platform Engineer

🕒 September 24

🏄 California – Remote

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💵 $180k - $220k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

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Logo of Bright Machines

Bright Machines

501 - 1000 employees

🏭 Manufacturing

🤖 Artificial Intelligence

Manufacturing • Artificial Intelligence

Bright Machines is an industry-leading technology company headquartered in San Francisco, specializing in intelligent, software-defined manufacturing. The company utilizes innovative tools such as computer vision, machine learning, 3D simulation, and adaptive robotics to enhance the flexibility, scalability, and economics of production processes. With a global workforce exceeding 500 employees and R&D centers located in the U. S. and Israel, Bright Machines is focused on transforming product design and manufacturing for the future.

📋 Description

• 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 including logging, monitoring, and 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 • Work with R&D teams to design and build software-defined automation solutions for modern factories • Shape and maintain the core platform powering Bright Machines' automation solutions

🎯 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)

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