[Remote] Senior Platform/MLOps Engineer

Note: The job is a remote job and is open to candidates in USA. Bright Machines is an innovative company focused on transforming manufacturing through intelligent automation. As a Senior Platform/MLOps Engineer, you will design and maintain scalable systems for AI/ML infrastructure, supporting the manufacturing operations of major industry players.ResponsibilitiesDesign, implement, and maintain reliable, scalable, and secure infrastructure, applications, and tooling, with a focus on our ML/AI pipelines and workloadsWrite clean, maintainable code, and perform peer code-reviewsWrite clear and concise documentation and engage in cross-team communication and knowledge sharingWork with other team members to investigate design approaches, prototype new technology and evaluate technical feasibilityPair 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 velocitySkillsAt 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 fieldProficiency in at least one modern programming languages (Python, Javascript, C#, Go, etc)Demonstrated industry best-practices in MLOpsProficiency with CI/CD tools and GitOps workflowsFamiliarity with running GPU workloads in kubernetesStrong 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 in air-gapped or extremely strict security environmentsExperience communicating with users, technical leaders and management to collect requirements, describe system designs, and architecting software systems that meets your stakeholders needsKnowledge and demonstrated application of software engineering best practices relating to the SDLC including code reviews, SCM, CI/CD, testing, and operationsDemonstrated ability to mentor and grow other team membersCompany OverviewBright Machines brings together flexible factory robots with intelligent software, production data and machine learning. It was founded in 2018, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://www.brightmachines.com.Company H1B SponsorshipBright Machines has a track record of offering H1B sponsorships, with 1 in 2026, 7 in 2025, 7 in 2024, 10 in 2023, 5 in 2022, 1 in 2021, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.