Justin Becker

Director of Engineering

San Francisco, California, United States21 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in building distributed systems at scale.
Proven track record in cloud optimization and cost reduction.
Strong leadership in high-performance engineering teams.

Stackforce AI infers this person is a SaaS expert with a focus on distributed systems and cloud computing.

Contact

Skills

Core Skills

Distributed SystemsCloud ComputingJavaBig DataMachine Learning

Other Skills

Performance AnalysisGPU OptimizationVideo Game InfrastructureCore Product FeaturesStreaming ExperienceVideo QualityAudio QualityFault ToleranceResilienceReal TimeAmazon Web Services (AWS)Statistical InferenceHadoopNoSQLEclipse

About

Engineering leader who values working in a collaborative environment, solving challenging problems, in a high performance culture. Experience building and operating distributed systems at scale to deliver core product features. My leadership values include: culture, clarity, and impact. Culture, creating a safe and collaborative environment for people to do their best work. Clarity, establishing what we’re doing, why we’re doing it, and how to evaluate success. Impact, scaling teams and technologies to achieve high product velocity and availability.

Experience

21 yrs 1 mo

Total Experience

9 yrs 5 mos

Average Tenure

2 yrs 3 mos

Current Experience

Openai

ChatGPT Infrastructure

Feb 2024 – Present · 2 yrs 3 mos · San Francisco, California, United States · On-site

Responsible for ChatGPT performance, reliability, foundations, model experimentation and deployment, and GPU optimization.

Distributed SystemsPerformance AnalysisGPU OptimizationCloud Computing

Netflix

3 roles

Director of Engineering

Promoted

Jul 2020 – Jan 2024 · 3 yrs 6 mos

Manage the organization responsible for building the core playback and video game product features and infrastructure. When a customer presses the play button, our systems deliver the product experience.

Distributed SystemsVideo Game InfrastructureCore Product FeaturesCloud Computing

Engineering Manager

Promoted

Jan 2016 – Jul 2020 · 4 yrs 6 mos

Manage the team responsible for selecting the streaming experience; what the customer sees (video quality and subtitles) and hears (audio quality and language choice).

Streaming ExperienceVideo QualityAudio QualityDistributed SystemsCloud Computing

Senior Software Engineer

Oct 2010 – Dec 2015 · 5 yrs 2 mos

Building distributed systems responsible for making video playback possible at scale. Focused on availability, fault tolerance, and resilience. Systems developed using Java and open source technologies, designed for the cloud.
Lead developer/architect for Mantis; a low-latency, stream processing system to support real-time analysis. Used primarily to identify and troubleshooting anomalies in streaming playback services.
Major contributor to AWS cloud efficiency effort at Netflix. Served as advisor to many teams within the company to help maximize EC2 utilization. Significantly reduced overall cloud infrastructure costs across the company.
Java performance engineer for the Streaming Infrastructure Team. Analyzed movie playback service to improve performance and capacity. Helped scale the service internationally, from a single region to a multi region solution.

JavaDistributed SystemsFault ToleranceResilience

Lawrence livermore national laboratory

Senior Software Engineer

Jan 2005 – Sep 2010 · 5 yrs 8 mos

Project lead for research effort to detect communicable disease outbreaks from unstructured data sources. Introduced statistical inference and machine learning techniques to classify unstructured text. Collaborated with top text-analysis and machine learning academic groups.
Project lead to transition from traditional RDBMS technologies to NoSQL solutions. Introduced Hadoop and large scale data processing solutions. Led internal big data discussion group.

Statistical InferenceMachine LearningHadoopNoSQLBig Data