Bright Machines
From Bright Machines's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers.
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.
Platform Engineers at Bright Machines are responsible for defining and implementing the systems that make Software Defined Manufacturing possible and that power our flexible robotic manufacturing lines. Our robots, and the software that controls them, are deployed in a variety of factory conditions and help support the manufacturing operations for some of the biggest names in the industry.
As a Staff Platform Engineer, you will build scalable systems that are foundational to the Bright Machines technology stack. You will work with Engineers across the Bright Machines organization to define, architect, implement, and deploy our software stack – from robot to cloud. If you’re ready to apply exceptional engineering practices and build the platform that will define the next generation in manufacturing, this is your opportunity to “Be Bright”. WHAT YOU WILL BE DOING Design, implement, and maintain reliable, scalable, and secure infrastructure, applications, and tooling that contribute to Bright Machines' vision of Software Defined Manufacturing
Write clean, maintainable code, and perform peer code-reviews
Write clear and concise documentation and engage in cross-team communication and knowledge sharing
Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility
B.S. or M.S. degree (or equivalent) in Computer Science, Engineering, or a related field
Proficiency in at least one modern programming languages (Python, Javascript, C#, Go, etc)
Proficiency with CI/CD tools and GitOps workflows
Deep knowledge of Kubernetes (self-hosted and managed), and modern k8s paradigms (e.g. CNCF)
Proficiency with Infrastructure as Code tools (Terraform, etc) and configuration management tools (Ansible, etc)
Experience communicating with users, technical leaders and management to collect requirements, describe system designs, and architecting software systems that meets your stakeholders needs
Knowledge and demonstrated application of software engineering best practices relating to the SDLC including code reviews, SCM, CI/CD, testing, and operations
Demonstrated ability to mentor and grow other team members
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in