Description

Job Description

You are expected to engineer, develop, support, and deliver real-time streaming applications that model real-world network entities, and have a good understanding of the Telecom Network KPIs to improve the customer experience through automation of operational network data. Real-time application development will include building stateful in-memory backends, real-time streaming APIs , leveraging real-time databases such as Apache Druid.

" Architecting and creating the streaming data pipelines that will enrich the data and support the use cases for telecom networks.

" Collaborating closely with multiple stakeholders, gathering requirements and seeking iterative feedback on recently delivered application features.

" Participating in peer review sessions to provide teammates with code review as well as architectural and design feedback.

" Composing detailed low-level design documentation, call flows, and architecture diagrams for the solutions you build.

" Running to a crisis anytime the Operations team needs help.

" Perform duties with minimum supervision and participate in cross-functional projects as scheduled.

Skills: 

" Experience with Java, K8S, Flink/Spark, Argo CD/Workflow, Prometheus, and Aether.

" Familiarity with object-oriented design patterns.

" Experience with Application Development DevOps Tools.

" Experience with distributed cloud-native application design deployed on Kubernetes platforms.

" Experience with PostGres, Druid, and Oracle databases.

" Experience with Messaging Bus - Kafka/Pulsar

" Experience with AI/Client - Kubeflow, JupyterHub

" Experience with building real-time applications which leverage streaming data.

" Experience with streaming message bus platforming, either Kafka or Pulsar.

" Experience with Apache Spark applications and Hadoop platforms.

" Strong problem-solving skills.

" Strong written and oral communication skills.
 

Key Skills
Education

Any Graduate

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