databricks > databricks Employee Directory > Nanxi Kang
nanxi-kang-66217490
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Nanxi Kang's Personal Email and Phone Number
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Nanxi Kang
Senior Staff Software Engineer
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Location: San Francisco Bay AreaApprox. Years of Experience: 13
Nanxi Kang's Current Workplace
Databricks
Company Size
2500+
Amount Raised
$3.5B
Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. --- Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
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Notable Investors
Microsoft, Andreessen Horowitz, Gaingels, BlackRock, Tiger Global Management
Software
Big Data
Training
Analytics
Open Source
Cloud Computing
Machine Learning
Enterprise Software
Business Intelligence
Information Technology
Artificial Intelligence
Experience
Databricks
Feb 2016 - Present
Senior Staff Software Engineer
Aug 2022 - Present
2 yrs 5 mos
(2023/08 - Present) As a Tech Lead in Vector Search, I am focusing on developing core features that empower Enterprise customers to harness Large Language Models (LLMs) to drive their business growth. (2021 - 2023) As the Area Tech Lead for the Multi-Cloud Platform, my focus is to enhance our service infrastructure and abstraction layers, empowering engineers to innovate more effectively. I led two significant projects: - Service Framework, offers consistent and simple interfaces, enabling engineers to build and manage services that run across multiple regions and clouds with ease. - Multi-Cloud Abstraction, provides cloud-agnostic interfaces for the seamless use and management of core cloud infrastructure, facilitating the creation of products and features that are seamlessly adaptable across different cloud platforms.
Staff Software Engineer and Tech Lead Manager
Feb 2019 - Jul 2022
3 yrs 6 mos
As the Tech Lead Manager for the Cloud team, I led the development and management of Databricks’ highly available, scalable, and secure multi-cloud infrastructure. My contributions include: - Successfully leading the "lift-and-shift" migration of all Databricks services to Kubernetes. - Overseeing the stability, scalability, and operational maturity of Kubernetes to support rapid product growth, driving the expansion of Databricks across 30+ regions in AWS, Azure, and GCP. - Architecting a multi-cloud unified secret/PKI management system and encryption framework to bolster product security. - Collaborating with the Compliance team to achieve PCI, HiTrust, and FedRAMP certifications, upholding stringent security and compliance standards.
Senior Software Engineer
Sep 2017 - Jan 2019
1 yr 5 mos
Software Engineer
Feb 2016 - Aug 2017
1 yr 7 mos
Intern
Microsoft
Jun 2014 - Jan 2015
8 mos
Intern
Google
Jun 2013 - Sep 2013
4 mos
Research Intern
Microsoft
Jun 2010 - May 2011
1 yr
Education
  • 2011 - 2015
    Princeton UniversityDoctor of Philosophy - PhD, Computer Science
  • 2007 - 2011
    Shanghai Jiao Tong UniversityBachelor's degree, Computer Science