
5001 - 10000 employees
Founded 1985
📡 Telecommunications
🔧 Hardware
💰 Series C on 1995-12
Telecommunications • Hardware • Networking
Ciena is a global leader in optical and routing systems, services, and automation software. We build the world’s most adaptive networks to address ever-increasing digital demands for richer, more connected experiences for all users. For three-plus decades, we’ve brought our innate sense of humanity to our relentless pursuit of innovation.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

5001 - 10000 employees
Founded 1985
📡 Telecommunications
🔧 Hardware
💰 Series C on 1995-12
Telecommunications • Hardware • Networking
Ciena is a global leader in optical and routing systems, services, and automation software. We build the world’s most adaptive networks to address ever-increasing digital demands for richer, more connected experiences for all users. For three-plus decades, we’ve brought our innate sense of humanity to our relentless pursuit of innovation.
• Design and evolve automation frameworks for public cloud infrastructure deployments at scale. • Enable secure cloud adoption by automating governance, audit, security, and compliance controls. • Use, develop and maintain AI services across AWS Platform (Cloud Native) • Build and maintain infrastructure and application monitoring to detect, prevent, and respond to incidents. • Drive cloud reliability, performance, and cost optimisation through best practices and continuous improvement. • Develop tools and mechanisms that eliminate repetitive operational tasks and improve engineering efficiency. • Review code, assess technical implementations, and provide actionable feedback to improve platform tooling. • Participate in on-call rotations and serve as an escalation point for cloud service incidents.
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience • 4+ years of overall professional experience, including 2+ years supporting multi‑account Amazon Web Services (AWS) platform infrastructure • Efficient in use, maintenance of AWS AI services like Bedrock, Sagemaker while maintaining strong proficiency in AI/ML Concepts • Proficiency in object‑oriented programming and SOLID design principles with hands-on experience with one or more programming languages, such as Python, JavaScript/TypeScript, Ruby, Java, or Go • Strong experience with infrastructure as code (IaC), automation, and continuous integration/continuous delivery (CI/CD) pipelines • Demonstrated knowledge of public cloud security best practices, tooling, and risk identification • Working knowledge of networking fundamentals, including Domain Name System (DNS), load balancing, Secure Sockets Layer (SSL), Transmission Control Protocol/Internet Protocol (TCP/IP), and related concepts.
• Flexible work environment • Empowerment for individual growth • Well-being initiatives • Diversity in the workforce • Equal Opportunity Employer
Apply Now🕒 Yesterday
Senior GenAI Engineer at ChargePoint leading the design, development, and operation of Generative AI systems. Architecting and delivering LLM-powered applications for enterprise scale.
AWS
Cloud
Distributed Systems
Django
Docker
ElasticSearch
Google Cloud Platform
Java
Kubernetes
Microservices
Python
🕒 4 days ago
Senior Engineer responsible for designing training data pipelines and automating data quality checks for Coupa's AI product. Transforming enterprise data and collaborating with experts on model accuracy.
Pandas
PySpark
Python
🕒 May 29
Software Architect IV responsible for defining architecture strategy for AI platforms at Rackspace. Leading scalable design patterns and standards across engineering teams.
AWS
Cloud
Kubernetes
Open Source
Python
🕒 May 29
501 - 1000
Solution Architect leading voice solution design and implementation on Google Platform at Miratech. Collaborating with cross-functional teams and ensuring compliance with business and technical requirements.
Cloud
Python
🕒 May 29
AI Architect at EY leading teams in developing and delivering AI solutions. Focused on driving architecture and executing AI-enabled digital solutions.
Azure
Python
PyTorch
SDLC
Tensorflow