Description

You will build and maintain data infrastructure to support AI product outcomes.

This role is hybrid.

Responsibilities

• Design and develop streaming or batch applications using Kafka and Spark.
• Analyze and validate telemetry data to identify error patterns and create views for network condition visibility.
• Build and maintain CI/CD pipelines for data workflows.
• Collaborate with data scientists and domain experts to improve AI outcome accuracy.
• Evaluate and implement new technologies to improve efficiency and reduce cost.

Required Skills

• 2+ years of programming experience in Python.
• 1+ years of programming experience in Java.
• 1+ year of experience with big data technologies like Apache Spark or Kafka.
• 1+ year of experience with containerization and orchestration tools such as Kubernetes and Airflow.
• 2+ years of experience developing applications in AWS.
• Experience with CI/CD Pipelines.
• Knowledge of Cloud Computing environments.

Preferred Skills

• Experience developing Generative-AI and Agentic AI based applications.
• Experience with managing and analyzing large data sets.

Key Skills

Education

Any Graduate