Description

Engineer real-time streaming applications for telecom network entities and operational data automation.

Responsibilities

• Architect and build streaming data pipelines to enrich data for specific use cases.
• Develop stateful in-memory backends and real-time streaming APIs using Apache Druid.
• Compose low-level design documentation, call flows, and architecture diagrams.
• Collaborate with stakeholders to gather requirements and iterate on application features.
• Participate in peer code reviews and provide architectural feedback.

Required Skills

• 5+ years of experience in real-time application development using streaming data.
• Proficiency in Java and object-oriented design patterns.
• Hands-on experience with Flink, Spark, and Hadoop platforms.
• Experience with Kafka or Pulsar messaging bus platforms.
• Distributed cloud-native application design on Kubernetes (K8S).
• Knowledge of DevOps tools including Argo CD/Workflow, Prometheus, and Docker.
• Experience with PostgreSQL, Druid, and Oracle databases.

Preferred Skills

• Familiarity with AI/Client tools such as Kubeflow and JupyterHub.

Key Skills

Education

Any Graduate