Description

You design and build real-time customer context pipelines and event-driven systems for agent experiences.

This role is on-site.

Responsibilities

• Design and implement real-time customer context pipelines for agent experiences.
• Build event-driven systems using Kafka and Amazon Kinesis.
• Develop stream processing applications using Apache Flink or Databricks real-time capabilities.
• Implement enrichment and decisioning services using Python and Scala.
• Automate infrastructure provisioning and updates using Terraform.

Required Skills

• 5-8 years of experience delivering cloud-native engineering solutions in AWS-based environments.
• Proficiency in Python for real-time data processing and service development.
• Experience with Apache Flink and/or Databricks for stream processing.
• Strong knowledge of Kafka for event-driven architecture and streaming data pipelines.
• Hands-on experience with AWS for cloud-native engineering and production deployments.
• Ability to implement enrichment and decisioning services using Python and Scala.

Preferred Skills

• Experience with Amazon Kinesis for streaming ingestion and event processing.
• Exposure to Docker and Kubernetes for containerized deployments.
• Familiarity with JavaScript, Angular, React, and SQL for adjacent platform and data work.

Key Skills

Education

Any Graduate