Solutions Engineering & Introduction Engineer

Ciena is a global leader in high-speed connectivity, committed to a people-first approach. They are seeking a dynamic engineer to support Network Management Applications and Network Design Tools, focusing on the Navigator Network Control Suite to ensure engineering readiness for product deployment and customer engagement.

Responsibilities:

• Develop a Single Pane of Glass to integrate subsea cables in Navigator NCS
• Conduct a thorough analysis of subsea / wet plant management requirements and drive the seamless integration of these systems with SDN controllers
• Lead the design of data-driven dashboards to provide clear and actionable visualizations of network performance metrics. Utilize advanced data analysis techniques to present complex information in an accessible and meaningful format, supporting decision-making and performance optimization efforts
• Drive discussions regarding the application of AI Ops capabilities, ensuring alignment with organizational goals and technological advancements
• Engage the customers to assess their needs / requirements and collaborate with the Ciena Product Management team to define / influence roadmaps
• Support account teams with pre- and post-sales / SVS (Solution Validation Service) engagements that include technical consultation, solution design / evaluation, and other Q&A support
• Drive customer engagements which include product and solution proof of concepts, demos, lab / field trials. In the process, you will capture product issues and customer requests for enhancements that could be embedded into upcoming releases
• Lead lab engineering activities such as installing, configuring, integrating, and testing Navigator Multi-layer Controller with Advanced Applications / Planning tools to assess / characterize functionality, performance, security, etc
• Develop technical documents, test plans, knowledge transfer charts, videos that explain product architecture, features, and capabilities

Requirements:

• Minimum bachelor's degree in electrical engineering, Computer Science (or related discipline)
• Solid IP and Optical networking knowledge
• Experience in multi-layer (IP over DWDM) network management
• Strong knowledge of AI technologies and concepts (GenAI, Large Language Models, Machine Learning, Natural Language Processing)
• Good knowledge of Linux Operating Systems
• Good knowledge of virtualized environments (VMware ESXi, OpenStack, GCP) and container services (Docker, Ansible, etc.)
• Good knowledge of cloud-based application deployment techniques, containerization software and orchestration products (Kubernetes, Red Hat OpenShift)
• Database knowledge (PostgreSQL), experience with messaging services (Kafka), experience with Monitoring Technologies (Nagios, Grafana)
• Experience with REST API interfaces and tools, NETCONF/YANG, XML, and solid programming skills in Python
• Exposure to machine learning concepts and experience using ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Understanding of Security, Radius authentication, etc
• Understanding of Agile / DevOps, continuous development, integration and deployment
• Ability to build strong relationships with peers and internal / external customers
• Ability to create / present presentations and articulate complex ideas
• Successful practical problem solving, excellent written and interpersonal communication, and documentation skills
• Ability to work in a competitive environment with churning requirements
• Flexibility to work across time zones and availability for some travel