Senior Software Engineer with 10+ years building scalable cloud-native and distributed systems. Expertise in .NET, Java, Python, React, and TypeScript. Skilled in microservices, APIs, AWS/Azure, Kubernetes, and CI/CD. Experienced in AI/LLM solutions, focusing on performance, reliability, and delivering high-impact, large-scale systems.
Navneet Kumar
@navneetkumar3
Senior software engineer specializing in cloud-native, AI-enabled systems.
What I'm looking for
I am a Senior Software Engineer with over 10 years of experience designing and delivering scalable cloud-native systems and distributed applications. I specialize in backend development with .NET, Java, Python, and modern frontend technologies like React and TypeScript, and I build microservices and API-driven architectures deployed on AWS and Azure.
I have led design and implementation of LLM-powered and generative AI capabilities, integrated OpenAI APIs and RAG pipelines, and deployed vector-database-backed solutions that improved task completion rates and automation. At Amazon I drove modular microservice adoption, improved observability, and optimized CI/CD and Kubernetes deployments to achieve high reliability and faster release cycles.
I am recognized for strong system design, technical leadership, and mentoring engineers while delivering high-impact, mission-critical platforms. I seek to continue building reliable, performant systems that leverage AI, scalable architectures, and DevOps best practices to solve complex engineering challenges.
Experience
Work history, roles, and key accomplishments
Led design and implementation of scalable cloud-native microservices on AWS using Node.js and TypeScript, reducing infrastructure overhead ~20% and improving deployment reliability to 99.9%. Architected LLM-powered generative AI features and RAG pipelines that improved task completion rates by 35% and reduced production incidents by 25%.
Senior Software Engineer
Scale AI
Mar 2020 - Nov 2021 (1 year 8 months)
Developed backend services and data pipelines for a large-scale fraud detection platform using Python and Java, enabling real-time transaction monitoring and reducing API latency up to 45%. Integrated predictive models into production to improve fraud detection and risk scoring.
Senior Software Engineer
Sift
Jun 2018 - Jan 2020 (1 year 7 months)
Designed scalable backend services and RESTful APIs with Node.js and FastAPI on AWS, improving system throughput 25% and modernized frontend with React/TypeScript to reduce page load times 35–40%. Implemented CI/CD pipelines to increase release velocity by 30%.
Software Engineer
Clearbit
Oct 2016 - May 2018 (1 year 7 months)
Developed full-stack web applications using C# and ASP.NET, delivering internal tools that improved operational workflows and reduced manual entry errors ~15% while modernizing legacy systems to improve stability and page load times by 20%.
Education
Degrees, certifications, and relevant coursework
San Jose State University
Bachelor of Science, Computer Science
2012 - 2016
Bachelor of Science in Computer Science completed at San Jose State University from August 2012 to May 2016.
Tech stack
Software and tools used professionally
Google Tag Manager
Sidekiq
GitHub
GitLab
Bitbucket
Kubernetes
Cloudflare
AWS CodePipeline
GitHub Actions
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Django
Laravel
Spring Boot
.NET Core
Ruby on Rails
Next.js
Symfony
NestJS
.NET
ASP.NET Core
Yii
Tailwind CSS
Material-UI
Google Analytics
Redis
Terraform
Jira
Mocha
React
Vue.js
jQuery
JavaScript
Python
HTML5
Java
CSS 3
PHP
ASP.NET
Blazor
TensorFlow
PyTorch
FastAPI
Sinatra
Linux
GraphQL
gRPC
AWS Lambda
Serverless
TypeScript
pytest
Docker
Airflow
Toolkit
Time Analytics
Clearbit
SQL
CodeIgniter
OpenAI API
Scale AI
Enhance
Task
Redux Toolkit
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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