Kunsh Manghwani

Backend Engineer

Bengaluru, Karnataka, India4 yrs 1 mo experience

Key Highlights

Expert in CI/CD automation and Docker technologies.
Led a Python team at a data-focused startup.
Solved over 2200 coding problems demonstrating strong DSA skills.

Stackforce AI infers this person is a Backend Engineer with expertise in SaaS and CI/CD automation.

Contact

Skills

Core Skills

Ci/cdDockerGit

Other Skills

AlgorithmsC (Programming Language)C++Cascading Style Sheets (CSS)Conference SpeakingData IngestionDatabase AdministrationDatabase Management System (DBMS)Dev C++EnglishFastAPIGolangGoogle Cloud Platform (GCP)HTMLHindi

About

I'm currently a Software Engineer at Atlassian, where I work on performance-driven backend infrastructure and CI/CD automation at scale. I bring prior experience as a Python Team Lead at a data-focused startup and have solved over 1200+ Leetcode and 1000+ GFG problems. My work spans Dockerized microservices, distributed systems, data extraction, and large-scale automation—backed by strong DSA skills and hands-on work across Python, Go, Node.js, and more. Always looking to build meaningful, scalable systems and take on impactful challenges.

Experience

4 yrs 1 mo

Total Experience

1 yr 8 mos

Average Tenure

9 mos

Current Experience

Gabeo.ai

Backend Engineer

Sep 2025 – Present · 9 mos · United States · Remote

DockerNode.jsJavaCI/CDGit

Atlassian

Software Engineer

Jul 2023 – Jul 2025 · 2 yrs · Kanpur, Uttar Pradesh, India · Remote

> Contributed to Micros Golden Images Monorepo building 48+ Docker images from scratch and Paved Path Tool to automate component service creation with 16+ components for Node/Java Services
> Reduced 13% VULN’s across all Atlassian services using Base Docker Images and avoided 13000 Future VULN’s by automating Auto Merge and Service Deployments
> Implemented CLI to handle large codebases and perform multiple Git Operation with Optimisations, handling over 500+ Pull requests and 1000+ Branches for each campaign (15+).
> Delivered FedRAMP/C5-compliant for Node Packages improving coverage to 95%+ across all Node service dependencies.
> Optimized CI/CD pipelines using Spinnaker, reducing build times by 45% and cutting release failures by 20%