Steve Ochoa Email & Phone Number

California, United States

Los Angeles, California, United States

New York, New York, United States

Hybrid role with Sr. Software Engineering duties.- Slashed time required to rollout new features by performing concurrent architecting, development, and scaling of a fully elastic hybrid server/serverless AWS architecture following best-practices.- Implemented TBD and design-forward engineering processes across fully-remote org to facilitate rapid and effective product development.- Worked directly with CEO to implement Agile Scrum methodology, OKRs, documentation, and performance reviews.

- Architected, codified, and automated deployment of elastic AWS infrastructure to ensure 100% uptime, handle real-time event ingestion at >10k req/sec, and process 10+ TB of data with PostgreSQL.- Led development of platform's dynamic query engine, ETL pipeline, automated integrations, and automated machine learning system while contributing directly to Java/Python codebase.- Migrated monolithic Java (Wildfly) server applications to massively scalable Vert.x microservices with Docker and ECS.

Santa Clara, California, United States

AWS Cloud Solutions Architect for various clients, including 23AndMe.

San Francisco, California, United States

AWS Cloud Solutions Architect consulting for various clients, including Chariot.

San Francisco

Backend Development for the company's content amplification platform.- Maximized margins on advertising inventory purchasing by working closely with CTO to create an algorithmic rule-based optimization engine.- Partnered with sales and customer success departments to automate spreadsheet and PDF reports generation for both internal and external users.- Built horizontally-scalable microservices in Java and prototypes in Python to automate campaign bid and budget optimizations for content marketing. - Developed bidirectional integrations with various adtech APIs (Facebook, Google).

Backend Java development for RTB DSP. - Implemented multiple caching layers in DSP's RTB system in Java to ensure < 5ms of latency when responding to bid requests.- Added video ad (VAST) bidding capabilities to the platform which leveraged existing ML models to produce optimized bids.- Contributed directly to the development of platform's Kafka, Storm, and Cassandra pipeline to provide real-time analytics to customers.- Integrated with 3rd-party ad exchanges (MoPub, Google DoubleClick, Rubicon, etc.) by fulfilling all technical requirements and handling relevant communications via email, phone and in-person meetings.