This is a senior, hands-on engineering role focused on building and enhancing a platform that aggregates infrastructure, network, and performance data into a unified visualization and monitoring application.
Technical Expectations
Strong full stack development experience using Python and Node.js.
Experienced in leveraging AI for code completion and faster shipping with Microsoft CoPilot
Ability to work on application logic, data schemas, and overall system design.
Infrastructure platform engineers handle Kubernetes cluster setup and scalable deployments; this role focuses primarily on application development.
Experience deploying applications on AWS.
The application aggregates data from multiple sources, including: Network metrics, Performance data, Alerts, Location and structural data
Data is visualized as a network topology map.
The underlying framework that translates data into visualizations already exists, along with supporting documentation.
The goal is to correlate and aggregate multiple dashboards into a single consolidated dashboard.
The engineer will collaborate closely with business and devops teams to extend and enhance this framework.
Deep domain knowledge is not required, though it would be considered a plus.
Strong lead developer capabilities are expected, including design input and technical ownership.
