Jason Shao

Software Engineer

Seattle, Washington, United States14 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led VM adoption initiatives at Google.
Developed innovative storage solutions at Netflix.
Pioneered managed file offerings on Google Cloud.

Stackforce AI infers this person is a Cloud Computing and Data Engineering expert with extensive experience in scalable solutions.

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Skills

Core Skills

Software EngineeringCloud ComputingCloud InfrastructureStorage SolutionsFile SystemsCloud ServicesSoftware DevelopmentDatabase EngineeringData Engineering

Other Skills

C++JavaPythonGitCloud SQLVertex AIBigQueryCloud StorageContainer ManagementHPCNFSv4KerberosHigh AvailabilityIP-based access controlBlock-level snapshots

Experience

14 yrs 2 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 10 mos

Current Experience

Google

5 roles

Staff Software Engineer

Promoted

Aug 2024 – Present · 1 yr 10 mos · Seattle, Washington, United States

Leading Arm and x86 VM adoption at Google including Vertex AI, Vector Search, Notebooks, Cloud SQL, AlloyDB, BigQuery, Memorystore, GKE.

C++JavaPythonSoftware EngineeringGitCloud Computing

Senior Software Engineer

Oct 2020 – Feb 2022 · 1 yr 4 mos · Kirkland, Washington, United States

Lead for the Filestore Control Plane team focused on delivering Enterprise file solutions including copy-on-write file level snapshots (.snapshots dir), regional high availability (99.99%) for control operations and NFSv4 + Kerberos integration.
Drove the preview and GA launch for the Enterprise tier unblocking critical customers like SAP. Led all supportability efforts including training TSEs and quota automation for managed services.
Participated and influenced in OKR planning, product scoping, production health, customer engagement, external team collaboration and launch planning.

C++JavaSoftware EngineeringGitFile SystemsCloud Services

Software Engineer III

Promoted

Oct 2018 – Oct 2020 · 2 yrs · Kirkland, Washington, United States

Acquired a startup (Elastifile) and ramped up a group of 5 engineers on the Control Plane to launch the High Scale tier, a horizontal scaling backend. This tier allowed customers to scale out to hundreds of thousands of IOPS, tens of GB/s of throughput, and hundreds of TBs in capacity.
Delivered fine-grained IP-based access control (ro/rw and root squash) from preview to GA on all Filestore tiers including recruiting two interns for the team.
Drove Basic tier backups (built on block-level snapshots) including asynchronous consistency validation, command-line tool implementation, and in-place share level restore.

C++JavaSoftware EngineeringGitFile SystemsCloud Services

Software Engineer II

Promoted

Jul 2017 – Oct 2018 · 1 yr 3 mos · Kirkland, Washington, United States

Built the first fully managed file offering on Google Cloud, a managed single-node NFSv3 server over GCP networking. I drove all aspects of the initial offering from Alpha to GA.
Implemented the production control plane on Google's virtualized environment, wrote REST APIs and command-line tooling for customer management, and productionalized the system with per-instance health monitoring, fault-tolerant stateless control plane, and automatic repair.
Other technical contributions include online filesystem resize support (block-level resize and ext4 filesystem resize), internal APIs for oncalls, project state management (eg. shutting down customers under billing violations) and geoexpansion.

C++JavaSoftware EngineeringGitCloud ServicesFile Systems

Software Engineer

Aug 2016 – Dec 2016 · 4 mos · Kitchener, Canada Area

As a software engineer on the Google Shopping team, I worked on internationalizing shopping task cards for Google Now. The majority of my work involves around building back-end infrastructure and analyzing A/B test results.

C++JavaSoftware EngineeringSoftware Development

Netflix

Senior Software Engineer

Feb 2022 – Aug 2024 · 2 yrs 6 mos

As part of the storage team under Cloud Infra, I set the technical direction for file, block and object storage at Netflix. Interesting collaborations include persistent storage hooks with our in-house container management platform, block device auto-scaling for data platforms and HPC use cases for ML workloads.
On the data storage platform team, I work on studio use cases for their storage and transfer needs. This includes Netflix Drive, a FUSE based POSIX interface for media assets in the cloud, and File System as a Service, a distributed Ceph-based storage cluster accessible over NFS and other protocols.

C++JavaPythonSoftware EngineeringGitCloud Infrastructure+1

Snapchat, inc.

Software Engineer

Jan 2016 – Apr 2016 · 3 mos · Greater Los Angeles Area

As a software engineer on the platform engineering team, I worked on optimizing geofilters for Snapchat's Android team, and built automation testing frameworks for emulators and Google Cloud Test Lab.

C++JavaSoftware EngineeringSoftware Development

Facebook

Software Engineer

May 2015 – Aug 2015 · 3 mos · San Francisco Bay Area

I was an Infrastructure Software Engineer on the Database Engineering team. Projects included a DBA tool that analyzed the running MySQL instances on a given host and resized their InnoDB buffer pool size to fairly distribute memory across busy and idle instances. Worked on supporting JSON specific operations for DocStore, a document database for MySQL at Facebook. Implemented random query generator testing framework for DocStore and standard MySQL.

MySQLSoftware EngineeringDatabase Engineering

Coursera

Software Engineer

Aug 2014 – Dec 2014 · 4 mos · San Francisco Bay Area

As a software engineer on the data analytics team, I reduced Coursera's Redshift warehouse disk usage using LZO compression. I worked on creating ETL pipelines for Amplitude, an eventing analytics framework. I also implemented a cross-pipeline dependency feature on top of Amazon Data Pipeline.

Data AnalyticsETL PipelinesData Engineering

Software Engineer

Jan 2014 – May 2014 · 4 mos · San Francisco Bay Area

As a software engineer on the data infrastructure team, I compared the performance of Apache Spark and Hadoop MapReduce on machine learning algorithms such as logistic regression and matrix decomposition. I also benchmarked Spark's performance of graph processing and SparkSQL querying.

Apache SparkHadoopSoftware EngineeringData Engineering

Ibm

Software Engineer

May 2013 – Aug 2013 · 3 mos · Ottawa, Canada Area

As a software engineer on the J9 Virtual Machine team, I designed the “idleness benchmark” to analyze the heap behavior of a periodic JVM. Modified Java Management Extensions code for multi-tenancy support in Java 7 (JNI). I also fixed thread-attach defects in multi-tenant mode.

JavaSoftware EngineeringSoftware Development

Chide.it

Software Developer

Jul 2011 – Aug 2011 · 1 mo · Ottawa, Canada Area

As a summer software engineer on the back-end team, I created a Python script to port Survey Monkey's exported surveys into a backwards compatible format that is supported by Chide.it.