Ciena
Technology
R&DAIPlatformEngineer/Administrator
Neural analysis suggests this role is
optimal for Mid candidates.
“R&D AI Platform Engineer / Administrator at Ciena. Skills: AI Platform Engineering, Kubernetes, Docker, LLM Serving. Design on-premises AI infrastructure. Deploy on-premises AI infrastructure”
What You'll Achieve.
Scale internal AI platform; Support innovation across R&D; Optimize inference performance; Enable internal users effectively
Industry & Context.
Translate technical constraints
What They're Looking For.
Must Have
3+ years experience developing AI/ML platforms, Kubernetes, Docker, Linux environments, LLM serving frameworks, Orchestration layers, Vector databases, Observability solutions, Network security practices, Container security practices, Data privacy practices
Nice to Have
Atlassian tools experience, Agile Jira experience, Confluence experience, Bitbucket experience, Private cloud architectures experience, OpenStack-based environments experience, Support design workstations experience, CI/CD pipeline environments experience, Bachelor's degree in Computer Science, Bachelor's degree in Software Engineering, Bachelor's degree in Electrical/Computer Engineering, Bachelor's degree in Math/Stats
What You'll Do.
Design on-premises AI infrastructure
Deploy on-premises AI infrastructure
Implement model serving solutions
Manage model serving solutions
Configure AI application stack
Maintain AI application stack
Ensure adherence to security policies
Protect intellectual property
Maintain compliance with governance
Collaborate with AI architects
Collaborate with product teams
Identify requirements
Deliver scalable platform capabilities
Deliver documentation
Provide guidance to users
How You'll Work.
Team & Collaboration
AI architects; Product teams
Communication Scope
Technical documentation; Guidance to users
Process & Methodology
Agile Jira, Confluence, Bitbucket
Full Job Description
As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact. Ciena is a global leader in high-speed connectivity, enabling innovation across optical networks, routing and switching, and network control systems. This role contributes to the "AI for Engineering" vision by advancing secure, on-premises AI capabilities for product development. The position plays a critical role in establishing and scaling an internal AI platform that supports innovation across Global R&D. **How you will make an impact:** * Design and deploy on-premises AI infrastructure using Kubernetes and Docker to host open-source and open-weight models * Implement and manage model serving solutions including SGLang to optimize inference performance on shared infrastructure * Configure and maintain AI application stack components including LiteLLM, Open WebUI, Milvus, and Langfuse * Ensure adherence to enterprise security policies to protect intellectual property and maintain compliance with R&D governance standards * Collaborate with AI architects and product teams to identify requirements and deliver scalable platform capabilities * Deliver documentation and guidance to enable internal users to effectively utilize AI platform services **The must haves:** * Experience: 3+ years of experience developing and administering on-premises AI/ML platforms * Utilization of Kubernetes, Docker, and Linux environments (Oracle Linux exposure noted) * Application of LLM serving frameworks such as SGLang or vLLM, orchestration layers including LiteLLM, and vector databases such as Milvus * Implementation of observability solutions for AI workflows including Langfuse or Prometheus/Grafana * Applicat
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