Anshi Jain

Senior Software Engineer

Varanasi, Uttar Pradesh, India5 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Designed scalable data systems for massive data loads.
Led migration from legacy systems to modern infrastructure.
Awarded Silver Medal for academic excellence at IIT.

Stackforce AI infers this person is a Senior Software Engineer specializing in scalable data infrastructure and distributed systems.

Contact

Skills

Core Skills

Data InfrastructureDistributed Systems

Other Skills

AlgorithmsAndroidAndroid DevelopmentAndroid StudioBashC++Data PipelinesData StructuresDjangoJavaJavaScriptKerasLeadershipLinuxMATLAB

About

I am currently a Senior Software Engineer at Google Cloud, Technical Infrastructure. Since joining, I've had opportunities across various groups, contributing to the design, development, and optimization of core systems operating at massive scale. This includes work on critical data exchange platforms handling petabytes of data for key infrastructure datasets and supporting high QPS loads. My experience covers a broad range of challenges: - Designing and implementing robust distributed systems capable of handling massive scale. - Developing and maintaining large-scale data pipelines. - Optimizing system performance, particularly through low-level C++ programming. Graduated with a B.Tech from IIT (BHU) Varanasi, where I was awarded the Silver Medal for my academic performance.

Experience

Google

3 roles

Senior Software Engineer

May 2025 – Present · 10 mos

Software Engineer III

Promoted

Apr 2022 – May 2025 · 3 yrs 1 mo

Infra Data Exchange: a system for acquiring, transforming and serving data for several key infrastructure datasets.
Played a key role in developing and scaling IDX, a critical system managing Google's core infrastructure datasets.
Designed and implemented highly scalable data ingestion service utilizing Pub/Sub ( > 100k qps), significantly increasing data processing throughput, currently used by more than 100+ teams at Google for ingesting and storing their data.
Contributed directly to scaling IDX to manage petabytes (PBs) of data and serve millions of queries per second (QPS)
Optimized data storage efficiency and access performance through targeted enhancements to Capacitor storage formats.
Drove substantial system performance gains via low-level C++ optimizations within core IDX components.
Drove a large scale migration (100+ tables with XX M+ queries/day) from a legacy system to IDX leading a team of 3 engineers.
Drove turndown of 10+ year old legacy system.

Data InfrastructureScalabilityData PipelinesDistributed SystemsC++