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Salary
≈ $41k – $106k per year (Estimated)
Location
In office (Guadalajara)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Sep 28, 2026. Bright Machines scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Bright Machines is a San Francisco company founded in 2018 that applies computer vision and machine learning to factory assembly and inspection. Its microfactories combine robotic cells with software that programs and adapts them, aimed at electronics manufacturing where product changeovers are frequent. The company has focused increasingly on automating the assembly of data centre hardware.

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 create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform 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 create the factory of the future, we’d love to speak with you.

ABOUT THE ROLE

    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 Senior 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

    • Pair with adjacent teams to understand how your frameworks and infrastructure are actually used in the field, continuously improving them and leveraging recent advances to improve developer velocity

WHAT WE WANT TO SEE

    • At least 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).

    • 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)

    • Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)

IT WOULD BE NICE IF YOU HAD

    • Experience with bare-metal or on-prem infrastructure

    • 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

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