Feb 2018 – Mar 2022 · 4 yrs 1 mo · San Francisco Bay Area

• We enable observability for all of Netflix. We build highly available and reliable distributed systems that provide real-time operational insights to enable Netflix's reliability, availability and efficiency goals. This involves collecting, processing and ingesting huge operational data sets (metrics, events, traces), building visualization tools and api to interact and integrate with these datasets and build vertical features that provide higher level insights (realtime alerting, outlier detection, correlation analysis) and automated follow up actions (notifications, diagnostics and remediations). We do it at large scale (e.g. ingesting billions of metrics every minute) with high availability and reliability in a self serve manner to satisfy the varying needs of Netflix engineers.

Apr 2015 – Feb 2018 · 2 yrs 10 mos · San Francisco Bay Area

• I lead a team that builds solutions to Detect, Diagnose and Remediate cloud services in real time for Netflix. My team's backend platform engineer's build highly resilient and scalable large scale distributed systems that sift through millions of signals from diverse telemetry sources to detect issues in real time, do co-relation and causation analysis to help with fault isolation and execute self healing through auto remediation. UI engineer's in the team help scale usability and adoption by making things self serve and an intuitive and delightful user interface for our products. And data scientists in my team work to define the right algorithms and models to solve our needle in a haystack class of problems utilizing the power of vast amounts of telemetry data to detect one in a thousand server that has gone bad or help engineers evaluate the latest bits they want to deploy via automated canaries analysis. If these areas excite you, I would love to chat.

Jul 2011 – Mar 2015 · 3 yrs 8 mos

• Touched different aspects of Azure storage service that include:
• Health: Metrics monitoring, diagnostics and remediation pipeline
• Dynamic configuration management,
• User and system logging and analytics framework within the service.
• Client SDK's across platforms and languages with value added client side features.

Jun 2009 – Sep 2011 · 2 yrs 3 mos

• Lead a team of 5-7 engineers within Windows Serviceability group that focused on building software that handles the pipeline of shipping windows update package and service packs automating some of the complex setup logic. This pipeline was used to ship all update packages for Windows Vista/7 and 8 during my time frame there.

Jan 2006 – May 2009 · 3 yrs 4 mos

• Windows Serviceability