Note: The job is a remote job and is open to candidates in USA. CoffeeSpace is recruiting on behalf of an anonymous AI-powered marketing platform that lets businesses activate customer data from their data warehouses. The distributed systems engineer will build and scale the syncing engine and multi-cloud, multi-region infrastructure, improve real-time data syncing and personalization, and work directly with customers on scaling problems.

Responsibilities

• Optimize sync speed for important data destinations like Facebook and Snapchat
• Develop streaming syncing capabilities to support real-time data syncs from sources like webhooks and queues
• Address scalability and reliability by evaluating current and future bottlenecks and architecting for growth
• Enhance the Personalization API to provide low latency caching for real-time personalization use cases
• Support the multi-region and multi-cloud backend, extending it to new regions for data residency requirements

Skills

• 7+ years of experience in distributed systems engineering
• Expertise in performance optimization and troubleshooting
• Experience with multi-cloud and multi-region infrastructure
• Ability to work autonomously and deliver projects from start to finish

Benefits

• Competitive equity
• Work remotely with access to offices in San Francisco, New York City, and North Carolina
• Visa sponsorship available; can sponsor most visas

Company Overview