Disney Plus

Senior Software Engineer

Content Discovery & Search

I work on the primary metadata API & data pipeline that ingests & serves personalized data at scale proportional to that of the number of users of Disney Plus. The singular goal of our services are to serve millions of concurrent users reliably & performantly.

Our applications are written in Java/Kotlin, Python, & NodeJS. Their capabilities are enabled by a palatable combination of Vert.x, Spring, Flask, Nginx, Docker, Jenkins, & a few other frameworks.

Of course, none of this would be possible without some flavor of AWS. Here’s a sample of what I have worked with:

• Cloudfront — Optimize round-trip time and cacheability of requests.

• DynamoDB — To leverage a global, cross-regional in-memory solution for efficient lookups at request time.

• Kinesis — Ingesting personalized data at scale with single millisecond lag-times.

• Lambda — For edge-computation of intelligent cache-keys, ingest pipelines, etc.

• S3, SNS, SQS — The canonical infrastructure that enables us to have a kappa-architecture for ingesting documents from upstream producers.

• EC2, ECS, ECR, Elasticache Redis, & several more.

In short, it takes a lot to make a streaming service work.