Kavitha Srinivasan

Software Engineer

San Francisco, California, United States21 yrs 7 mos experience

Highly Stable

Key Highlights

18+ years of software engineering experience
Expert in GraphQL and distributed systems
Proven track record in high-performance service development

Stackforce AI infers this person is a Backend-heavy Fullstack engineer specializing in SaaS solutions.

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Skills

Core Skills

GraphqlSpring BootDistributed SystemsC++

Other Skills

GradleDistrNetworkingAgile MethodologiesSoftware DevelopmentScalabilitySoftware EngineeringJUnitObject Oriented DesignREST

About

Software engineer with 18+ years experience developing production quality software using agile methodologies. At Netflix, I'm part of the Java Platform Team working on Federated GraphQL adoption. I've been working on the Domain Graph Services Framework (DGS, open source), a framework for implementing GraphQL services base don Spring Boot and graphql-java, and related tooling.

Experience

21 yrs 7 mos

Total Experience

13 yrs 9 mos

Average Tenure

7 yrs 10 mos

Current Experience

Netflix

Staff Software Engineer

Jun 2018 – Present · 7 yrs 10 mos · Los Gatos, CA

I'm part of the Java Platform team, building the DGS Framework (based on Spring Boot and graphql-java for developing GraphQL services in Java) and related tooling, such as the DGS Code generation gradle plugin and the DGS IntelliJ plugin. I've been actively involved with driving federated GraphQL adoption within Netflix.

Spring BootGradleGraphQL

Logmein (formerly citrix online)

Staff Software Engineer

Aug 2004 – May 2018 · 13 yrs 9 mos · Mountainview, CA

I was part of the communication platform team responsible for leading and implementing highly performant C++ services in a distributed architecture powering our remote collaboration products, such as GoToMeeting and GoToAssist. Key contributions include scaling our screen sharing and VoIP stacks in GoToMeeting servers from 20 to 1000 participants, adding ability to record sessions server side, refactoring implementations of out proprietary communication network protocol stacks for better performance and reusability.

DistrC++Distributed Systems