Amit Ranjit
Staff Software Engineer at Cash App
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolAmit Ranjit is a Staff Software Engineer based in Sydney with 14 years of experience designing cloud-native systems and leading engineering teams. He combines strong computer science fundamentals with a technology-agnostic approach, favoring clean, functional design patterns across backend and full-stack work. At Cash App he’s building identity platforms, and prior roles include shaping Jira Cloud at Atlassian and architecting multi-tenant collaboration and security products at Oracle and Cisco. He mentors engineers, drives architectural decisions, and consistently delivers scalable, production-grade software across Java, C++, and functional paradigms. An active contributor to open-source—having improved DuckDuckGo Instant Answers—he brings practical UX-minded backend changes to projects. He also blogs about his engineering learnings, reflecting a habit of turning complex problems into accessible solutions.
14 years of coding experience
20 years of employment as a software developer
Master of Science (MS), Computer Science, 4.0, Master of Science (MS), Computer Science, 4.0 at Illinois Institute of TechnologyBachelor of Technology (B.Tech.), Computer Science, A, Bachelor of Technology (B.Tech.), Computer Science, A at College of Engineering, Trivandrum
Github Skills (9)
calculator10
instant-view10
javascript10
perl10
instantsearch10
duckduckgo9
handlebars7
html5
css4
Programming languages (10)
Github contributions (5)
duckduckgo/zeroclickinfo-goodies
Nov 2015 - Apr 2016
DuckDuckGo Instant Answers based on Perl & JavaScript
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:12 commits, 4 PRs, 15 comments in 5 months
Contributions summary:Amit primarily contributed to the DuckDuckGo Instant Answers feature, focusing on both backend and frontend aspects. They made significant changes to the Perl code for the calculator and periodic table features, enhancing functionality and display formats. The user also updated JavaScript code within the example templates, contributing to the user interface and overall presentation of the instant answers.
javascriptduckduckgoinstant-answersperlinstant
amitdev/lru-dict
May 2013 - Jan 2023
A fast and memory efficient LRU cache for Python
Contributions:6 releases, 1 review, 52 commits in 9 years 9 months
memorypythonlrupython3cache
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