Build scalable systems foundational to Bright Machines' technology stack and contribute to innovative robotic manufacturing solutions.
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
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)
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
Bright Machines is an innovative manufacturer specializing in AI-powered robotics to streamline the assembly of data center infrastructure. We cater to the needs of hyperscalers and OEMs, leveraging advanced technology to efficiently build vital hardware that fulfills the growing demand for computational power.
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Senior Platform Engineer Q&A's