Role: Network Cloud Architect – NMS
Location: Herndon VA – Remote
Hire Type – Full Time

YOUR SKILLS AND EXPERIENCE

• Experience in Kubernetes ecosystem & Cloud-native application design
• Experience with cloud platforms and networking on cloud and Kubernetes services (logging, resource sharing, etc.)
• Experience in Scalable system architecture design and Microservices architecture
• Experience in Information modeling aligned with standards (SysML, UML)
• Experience with various databases: PostgreSQL, NoSQL (MongoDB), TimescaleDB, CortexDB
• Data collection pipelines: extraction, transformation, integration
• Cloud database experience
• Experience in Elastic Search and Visualization tools: Kibana, Grafana
• Experience in Languages: Python, Java, JavaScript, C++, SQL for NMSExperience in API design: REST, gRPC, GraphQL

• Build an information model, aligned with element management standards and specifications, that represents the system functionality via which an operator shall be able to manage and control his network.
• Build a scalable system architecture of the Network Management System using cloud native components and micro services architecture.
• Collaborate with specialists and architects covering different technology domains.
• Contribute to an NMS application architecture for configuration management of the network elements and functions
• Contribute to an NMS application architecture for receiving events, notifications, statistics collection from the different network elements and functions.
• Collaborate with the development teams to ensure the defined system architecture is implementable, inclusive of effort estimation and test strategy.
• Collaborate with other system architects and development teams to work on proof of concepts and early evaluation.
• Other key responsibilities and job functions include:
• Ability to communicate clearly and concisely, both orally and in writing
• Ability to distill and present information to the larger organization.Knowledge of model driven system architecture and engineering methodologies with a knowledge of SysML and UML is a big plus.