Brian Ecker

Brian Ecker Email and Phone Number

Production Engineer at Facebook @ Facebook
Brian Ecker's Location
San Francisco Bay Area, United States, United States
Brian Ecker's Contact Details

Brian Ecker personal email

n/a
About Brian Ecker

I am a software engineer specializing in web development for cloud native applications, cloud infrastructure management, and site reliability. I thrive in an environment where I am constantly challenged and constantly learning. I believe the most important skill for any software engineer is the ability to rapidly adapt and learn when faced with challenges and requirements that they've never dealt with before, and I strive to exemplify this skill. For this reason, I truly believe in the DevOps philosophy, consider myself a software generalist with the ability to specialize as needed, and feel comfortable applying my skills at any level of the software stack across a variety of interests including building distributed, scalable cloud native applications for data processing, conducting in-depth data analysis for machine learning, developing pipelines for building, validating, deploying, and monitoring machine learning models in production, and building highly available web services.

Brian Ecker's Current Company Details
Facebook

Facebook

View
Production Engineer at Facebook
Brian Ecker Work Experience Details
  • Facebook
    Production Engineer
    Facebook Oct 2020 - Present
  • Liveramp
    Senior Software Engineer
    Liveramp Jul 2019 - Sep 2020
    San Francisco, Ca, Us
    - Tech lead responsible for the overall technical direction of a key offering in the LiveRamp product suite- Built and deployed large scale data processing applications in Cascading centered around performing identity resolution on imported files with sizes upwards of 400 million rows and tens of thousands of imports daily- Evangelized a successful multi-team migration from outdated in-house software to open source technology, resulting in substantial reliability improvements, cost savings, and processing speed ups on the order of hours- Mentored new graduate engineers on my team
  • Trivago
    Software Engineer - Personalization
    Trivago Jun 2018 - Jun 2019
    Düsseldorf, North Rhine-Westphalia, De
    As a software engineer in personalization, I developed and maintained streaming and offline applications for predicting the travel interests of users and suggesting searches for users based on partially typed input. In addition to actively developing software, I lead devops efforts within the team for our cloud based Kubernetes stack, ensuring developers could deliver software quickly and reliably. In order to improve reliability in our organization as a whole, I also contributed to cross-team efforts to ensure site reliability best-practices by establishing and participating in an on-call system for mission-critical, user-facing software and infrastructure.
  • Trivago
    Software Engineer - Inventory Management
    Trivago Oct 2016 - Jun 2018
    Düsseldorf, North Rhine-Westphalia, De
    Working as an engineer in inventory management, I developed Java based software for managing an inventory of hotels based around machine learning models for automated data import processing. Within this role I also developed continous delivery pipelines, built up a cloud computing infrastructure from scratch using Amazon Web Services, and migrated many large application from an in-house datacenter to AWS.
  • University Of California, Santa Cruz
    Undergraduate Researcher
    University Of California, Santa Cruz 2014 - 2016
    Santa Cruz, Ca, Us
    In my time as an Undergraduate Researcher at UCSC, I completed numerous research projects on the broad topic of developing new models and techniques for statistical natural language processing using applied machine learning in the Natural Language and Dialogue Systems (NLDS) lab. My project responsibilities included large-scale collection and analysis of user-generated online text data using carefully engineered feature extraction methods, machine learning models, statistical analysis, and data visualization.
  • Clean Water Systems & Stores Inc
    Web Developer
    Clean Water Systems & Stores Inc 2013 - 2014
    Santa Cruz, California, Us
    Worked as the primary developer and maintainer of an existing eCommerce website. Duties included custom feature development for an existing Customer Relation Management suite, feature and page development for a Miva Merchant eCommerce platform, Miva Merchant template design using Miva SMT, JavaScript, AJAX, HTML, and CSS, and various other server and website management tasks.

Brian Ecker Skills

Amazon Web Services Cloud Computing Machine Learning Java Python Distributed Systems Kubernetes Google Cloud Platform Site Reliability Engineering Linux Web Services Data Science Apache Kafka Stream Processing Serverless Sql Nosql Elasticsearch

Brian Ecker Education Details

  • University Of California, Santa Cruz
    University Of California, Santa Cruz
    Computer Science

Frequently Asked Questions about Brian Ecker

What company does Brian Ecker work for?

Brian Ecker works for Facebook

What is Brian Ecker's role at the current company?

Brian Ecker's current role is Production Engineer at Facebook.

What is Brian Ecker's email address?

Brian Ecker's email address is brianecker@fb.com

What schools did Brian Ecker attend?

Brian Ecker attended University Of California, Santa Cruz.

What skills is Brian Ecker known for?

Brian Ecker has skills like Amazon Web Services, Cloud Computing, Machine Learning, Java, Python, Distributed Systems, Kubernetes, Google Cloud Platform, Site Reliability Engineering, Linux, Web Services, Data Science.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.