Kumari Kajal

Senior Software Engineer

Bengaluru, Karnataka, India10 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Expert in architecting scalable e-commerce solutions.
Strong foundation in software engineering principles.
Passionate about machine learning and competitive coding.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the E-commerce industry.

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Skills

Core Skills

JavaMicroservices

Other Skills

Reactive JavaSpring FrameworkCassandraMemcacheSplunkGrafanaMavenMicroservice-Based ArchitectureConfluenceSpring MVCGitApplication Programming Interfaces (API)REST APIsJiraHibernate

About

As a Senior Software Engineer at Walmart, I specialize in architecting and delivering scalable, high-performance solutions that drive innovation in the e-commerce and retail sectors. My expertise encompasses Java, Spring, Hibernate, Databases, SQL, and microservices, enabling me to design robust APIs and databases that enhance system efficiency and user experience. Holding a Bachelor of Technology in Computer Science and Engineering from the National Institute of Technology, Patna, I possess a strong foundation in software engineering principles. Beyond my core competencies, I am passionate about machine learning and competitive coding, continuously exploring new technologies and frameworks to tackle complex challenges and deliver impactful solutions. I am committed to leveraging my skills and experience to create value for customers and contribute to the ongoing success of the organization

Experience

10 yrs 9 mos

Total Experience

2 yrs 1 mo

Average Tenure

2 yrs 3 mos

Current Experience

Walmart global tech

2 roles

Senior Software Engineer

Nov 2025 – Present · 6 mos · Bengaluru, Karnataka, India

SDE 3

Feb 2024 – Nov 2025 · 1 yr 9 mos · Bengaluru, Karnataka, India

◦ Walmart Ecommerce: Part of Walmart Ecommerce Customer Experience Team (IRO) which is Tier 0 service.
◦ Item Read Orchestrator: Item Read Orchestration is a high throughput and low latency orchestrator layer, it integrates with 40+ different resource tiers and provide single source of data to walmart’s upstream systems like S&B, CXO, Ads, ItemPage, etc.
◦ Glass: Serves the real time data which includes: availability, pricing, shipping and powers item page, search and browse etc.
◦ IRO Cache: IRO cache is very light weight api, serves high throughput consumers like Ads, crousals and personalisation.
◦ Tech Stack: Java, Reactive Java, Spring Framework (Spring Boot), Cassandra, Memcache, Splunk, Grafana, Maven and Microservice-Based Architecture.

JavaReactive JavaSpring FrameworkCassandraMemcacheSplunk+4

Increff

2 roles

SDE 2

Jul 2023 – Feb 2024 · 7 mos

Spring FrameworkJavaConfluenceSpring MVCGitApplication Programming Interfaces (API)+10

SDE 1

Sep 2021 – Jul 2023 · 1 yr 10 mos

Spring FrameworkJavaConfluenceSpring MVCGitApplication Programming Interfaces (API)+10

Sap labs india

Developer Associate

Nov 2019 – Sep 2021 · 1 yr 10 mos · Bangalore

Spring FrameworkConfluenceGitJiraMaven

Publicis sapient

Trainee Technology Internship

Feb 2019 – Jun 2019 · 4 mos · Gurgaon, India

Spring FrameworkJavaSpring MVCGitApplication Programming Interfaces (API)REST APIs+8

Nit patna

Summer Internship on cyberbullying Detection of posts containing text and image using Deep Learning.

Jun 2018 – Aug 2018 · 2 mos

This was a completely new work from other cyberbullying detection projects. Dataset comprised of images that were innocent and so were the texts but combining them created an offending situation. Then was pictured on Convolution Neural Network. Dataset was created and labelled manually.

Iit guwahati

Summer Internship through SRFP 2017(Indian Academy of Sciences).

Jun 2017 – Jul 2017 · 1 mo · IIT GUWAHATI

The project was based on study of uniformity of words(Uniform Words). I worked on the experimental part of various algorithms to find uniform word from a randomly generated word.

Nit patna

2 roles

Video Clip Descriptor using Deep Learning

Jan 2017 – Apr 2017 · 3 mos

The main objective of this project was to generate natural language descriptions of the images appearing in a provided video clip using Deep Learning.