Platform Engineer

We have an exciting opportunity for a Data Platform Engineer with the top leading multimedia and creative software company in the world using cutting-edge tools and technologies, including industry-leading AI and creative software, empower millions of users to achieve their creative and business goals.

Responsibilities:
• Setup and maintain production scale Databricks environment on public cloud such as Microsoft Azure and AWS
• Setup and maintain production scale data storage such as ADLS and S3 for multiple tenant teams using our Data Platform
• Setup and maintain production scale micro services to support the daily operation of our data platform. Services include job scheduling, security, financial, and administrative services, etc.
• Provide triage and guidance to the team on various support issues raised by our tenants
• Develop tools and automation solutions for configuration management, service deployments, monitoring, and alerting to assist with daily RTB operations
• Assure security and privacy compliance and implement Adobe Security & Compliance solutions to lock down data stored in our data lake
• Explore GenAI technologies and find opportunity to integrate them with our data platform, providing technical enhancement or improve user experience in the end
• Work with various 3rd party vendors for troubleshooting, proof of concept, and other collaborative projects to enhance our product.

Skills and Experience:
• BS in Computer Science, Computer Engineering, or similar.
• Cloud Infrastructure Administration and Automation:
• AWS
• Azure

Proficient with following storage technologies:
• ADLS Gen2
• S3
• Minio
• MongoDB
• Vector Databases

Setup and operation of:
• Databricks
• Airflow
• Azure Kubernetes Service or Elastic Kubernetes Service

Ability to setup monitoring and alerting with:
• DBX System Tables
• Prometheus
• Splunk
• ELK

Familiar with how to troubleshoot and maintain:
• Servers with Linux system
• Kubernetes environment

Knowledge to operate with:
• Jira
• Service Now.

Compensation:
• Up to $79.58 per hour.

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