Prove Your
Skills. Get Hired.

AI/ML Placement at NexGen
Senior React Dev Placed in 48hrs
Elite Talent Network
System Architecture Assessment Live
Global Hiring Benchmark 2026
AI/ML Placement at NexGen
Senior React Dev Placed in 48hrs
Elite Talent Network
Get In Touch
×

Enter the Arena

×

Talent Explorer

Available Assessments
Architecture

System Design

A comprehensive module covering distributed systems, load balancing, and database architecture.

Begin Module
Frontend

React Engineering

Advanced hooks, state management patterns, and concurrent rendering mechanisms.

Begin Module
Computer Science

Algorithmic Core

Dynamic programming, graph traversals, and algorithmic complexity analysis.

Begin Module
Global Candidate Feed

Liam Chen

Sys Design 98.5%
Logic 99.0%
View Profile →

Olivia Martinez

Frontend 95.2%
Logic 91.4%
View Profile →

Marcus Johnson

Backend 92.0%
Architecture 94.1%
View Profile →

Assignment Engine

Liam Chen

Senior Systems Architect / Distributed Systems Specialist

Skill Matrix

  • System Design 98.5%
  • Algorithmic Logic 99.0%
  • Database Scaling 94.2%

AI Mentor Notes

"Candidate demonstrated exceptional foresight in handling caching invalidation during the distributed systems module. Code is extremely clean and well-documented. Highly recommended for Senior roles."

Redefining
Talent.

We believe that resumes are dead. In the modern era of software engineering, what you have built and how you solve problems is infinitely more valuable than where you went to school.

[ Abstract Architectural Graphic ]
"The assessment arena strips away bias and exposes pure engineering capability."

NexTern bridges the gap by placing elite engineers in live, rigorous assessment arenas and delivering pre-vetted, extraordinary talent directly to top-tier organizations. We do not rely on keywords. We rely on logic, execution, and raw technical mastery.

Global Rankings
02

Olivia M.

95.2% Overall

01

Liam Chen

98.5% Overall

03

Marcus J.

92.0% Overall

04 Guest User
88.9%
05 Sarah T.
85.4%
06 Alex K.
82.1%
Question 1 of 3

How would you design a distributed rate limiter for a public GraphQL API expecting 10M requests per second?

Use an in-memory token bucket on each node.
Implement a Redis sliding window log algorithm with Lua scripts.
Rely entirely on the API Gateway's default settings.

AI Mentor

ONLINE
Welcome to Nextern. Are you looking to hire elite talent or prove your skills?