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Greg Burrell Email & Phone Number

Over 18 Years at Netflix! at Career Break
Location: San Jose, California, United States 10 work roles
1 work email found @netflix.com LinkedIn matched
✓ Verified Jun 2026 3 data sources Profile completeness 86%

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Work email g****@netflix.com
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Current company
Career Break
Role
Over 18 Years at Netflix!
Location
San Jose, California, United States

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Greg Burrell is listed as Over 18 Years at Netflix! at Career Break, based in San Jose, California, United States. AeroLeads shows a work email signal at netflix.com and a matched LinkedIn profile for Greg Burrell.

Greg Burrell previously worked as Retirement at Career Break and Senior Site Reliability Engineer at Netflix.

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{first_initial}{last}@netflix.com
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Profile bio

About Greg Burrell

I am passionate about highly-available, reliable systems at scale. Availability is more than server uptime, it includes understanding and mitigating the risks to your system while reducing the burden on engineering teams. It is essential to have the right metrics, tools, automation, and practices in place. The key is a robust feedback cycle and strong cross-team collaboration.

Listed skills include Scalability, Streaming Media, Amazon Web Services, Hive, and 13 others.

Current workplace

Greg Burrell's current company

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Career Break
Career Break
Over 18 Years at Netflix!
10 roles · 33 years

Greg Burrell work experience

A career timeline built from the work history available for this profile.

Retirement

Current
Career Break

Retired! I had a long and rewarding career. I enjoyed working with some amazing people. I'm proud of the work I did at Netflix. I look back and think, "Wow, I was one of the handful of people who built streaming from the ground up!" I worked a lot of hours and days over the years. Now I'm going to travel and enjoy life while I'm still young(ish). I begin a.

Jul 2023 - Present

Senior Site Reliability Engineer

Los Gatos, CA, US

  • I was a member of the CORE team responsible for the availability of Netflix’s global streaming service. CORE ensures Netflix consistently achieves 99.99% availability in the face of massive growth in scale and.
  • As an Incident Commander I carried the pager day and night to triage, troubleshoot, and coordinate fast and smooth incident response.
  • I conducted post-incident investigations to blamelessly uncover the factors that contributed and turn those into action items to prevent recurrences.
  • Risk identification. Identifying the risks to our availability and addressing those risks before they become incidents.
  • I initiated an incident taxonomy project in which I analyzed past incidents to identify their contributing factors. From this I derived a fine-grained incident tagging system that enabled us to identify hotspots.
  • In the Production Always Ready project I provided a comprehensive set of best practices for engineering teams to follow as they build, deploy, monitor, and operate their microservices. This was the first step towards.
Jun 2022 - Jul 2023

Employee Resource Group (Erg) Founder And Leader

Los Gatos, CA, US

  • I am a founder and leader of the Indigenous@ Netflix employee resource group (ERG). Our mission is to build an inclusive and supportive community for our Indigenous employees through recruitment, retention.
  • As a leader I programmed and conducted monthly meetings, wrote the monthly newsletter, mentored members of our leadership team, and coordinated company-wide events featuring guest speakers.
  • I worked with the content team to create the Indigenous Peoples Stories collection on the Netflix service.
  • I spoke to various business units wanting to learn about the Indigenous experience. I believe that reaching a diverse employee and consumer audience first requires knowledge and understanding.
  • I partnered with the Netflix recruitment team to host a networking event in Seattle. The high turnout was very engaged and we received appreciation that Netflix would make such an effort.
Sep 2020 - Jul 2023

Technical Product Manager

Los Gatos, CA, US

  • As a Technical Product Manager in the Developer Productivity org I leverage my years of working with Tier1 streaming services and my experience on tool-building teams.
  • I interviewed more than 70 developers from dozens of engineering teams in order to gain understanding of developers’ needs, frustrations, and suggestions.
  • I built a tagged Airtable database of my interview learnings to identify and address top developer pain points.
  • I used direct quotes from these interviews to build connection and empathy with our tool and platform building teams.
  • From this interview data I formulated Problem Hypotheses which formed the basis for our Developer Productivity strategy and product roadmaps.
  • I created a set of Personas based on the learnings from my developer interviews. The Developer Productivity org uses these Personas to represent and understand its customers.
Oct 2020 - May 2022

Product / Project Manager

Los Gatos, CA, US

  • My SRE experience and focus on developer productivity enabled me to create a unique role in which I worked with tool-building teams to understand the needs of their users, support and grow customer bases, and.
  • I evangelized Telltale (next-generation intelligent monitoring and alerting) throughout Netflix, collected requirements, and prioritized feature development. Telltale reduced Mean Time to Detect (MTTD), Mean Time to.
  • I championed Edgar (a tool that traces requests, pinpoints errors, layers on graphs and metrics, and brings in relevant logs) to additional engineering teams throughout Netflix, explored their use cases to collect.
  • I lead the Templated Data Capture (TDC) project which built an end-to-end solution for rapid application development. TDC allowed the Technical Solutions team to quickly spin up new applications and provided.
Jan 2018 - Sep 2020

Sr. Reliability Engineer

Los Gatos, CA, US

  • As a Consulting SRE I leveraged my years of experience operating our large-scale and highly-available global streaming service. In this role I ensured our Streaming engineering teams had the tools, training, and.
  • I increased engineering velocity by automating workflows that encapsulated best practices. Through this automation I eliminated toil, reduced risk, and avoided engineer burnout.
  • As an advocate for safe CI/CD I defined requirements, introduced use cases, and provided rapid feedback on new features to the Spinnaker (Netflix’s open-source release automation) team.
  • I worked with data scientists to automate the task of finding bad servers. The result was Kepler, an automated system for finding and removing outlier servers. We received US patent #15042116 for this.
  • I leveraged the best-practices I developed and worked with a data scientist to produce Automated Canary Analysis. This system has stopped thousands of bad changes from going into production and has given development.
Jan 2015 - Jan 2018

Devops Engineer

Los Gatos, CA, US

  • For the nascent Streaming service I took on the roles of Build & Release engineer, System Administrator, and Operations Engineer. In these roles I built out the Netflix streaming infrastructure, created best practices.
  • My deep knowledge of our software, architecture, and networks led me to be the sole on-call person for the first four years of our new streaming service. I was on-call 24x7 to troubleshoot and fix the streaming service.
  • I set up and tuned monitoring, alerting, and dashboards so we always knew the health of our systems and could quickly diagnose issues.
  • I scripted build and release automation so our developers could quickly build and test their code changes in a safe and repeatable way.
  • I lead server capacity planning for the streaming service: I conducted performance tests to measure and worked with our system administrators to build out server capacity ahead of growing consumer demand.
  • I oversaw server testing, trained a new DevOps team, and worked on the transition from data centers to the cloud (AWS).
Jan 2008 - Jan 2015

Sr. Qa Engineer

Los Gatos, CA, US

  • I was hired by Netflix to be part of a small team experimenting with sending movies over the Internet. This ten-person team built client hardware & software as well as the entire backend server ecosystem and our own.
  • In addition to server and end-to-end testing I also set up our first continuous integration system, built load testing tools, created our first device lab, built out the streaming ecosystem within our data center, and.
  • I partnered with content teams to test new encodes so that we might find the optimal balance between file size, streaming speed, and video quality.
  • I trained our system and network administrators about the new streaming service so that they could partner with me to provision, build out, and help operate our new streaming service.
  • Just before we launched the streaming service I was given a special commendation by the first Director of Streaming for getting the team to the launch point.
Mar 2005 - Jan 2008

Software Engineer

Aol

New York, NY, US

Worked on Installer technology for America Online products.

2004 - 2004

Programmer

Mindcraft
1993 - 2003 ~10 yrs
FAQ

Frequently asked questions about Greg Burrell

Quick answers generated from the profile data available on this page.

What company does Greg Burrell work for?

Greg Burrell works for Career Break.

What is Greg Burrell's role at Career Break?

Greg Burrell is listed as Over 18 Years at Netflix! at Career Break.

What is Greg Burrell's email address?

AeroLeads has found 1 work email signal at @netflix.com for Greg Burrell at Career Break.

Where is Greg Burrell based?

Greg Burrell is based in San Jose, California, United States while working with Career Break.

What companies has Greg Burrell worked for?

Greg Burrell has worked for Career Break, Netflix, Aol, and Mindcraft.

How can I contact Greg Burrell?

You can use AeroLeads to view verified contact signals for Greg Burrell at Career Break, including work email, phone, and LinkedIn data when available.

What skills is Greg Burrell known for?

Greg Burrell is listed with skills including Scalability, Streaming Media, Amazon Web Services, Hive, Rest, Distributed Systems, Hadoop, and Amazon Ec2.

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