Reazon
reazon.jp
Actively hiring
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Tech stack
Technologies named in job postings at Reazon over the last 12 months, by layer, with the share of postings for each.
Technologies in use
75
Postings analysed
20
Stack modernity
80/100AI adopter
Languages
Python40%
C++30%
JavaScript30%
PHP25%
Frameworks & libraries
MuJoCo10%
Nest.JS5%
React Native5%
TensorFlow5%
Databases
Amazon Aurora20%
Redis15%
BigQuery10%
Google BigQuery10%
Cloud & platforms
AWS40%
Linux30%
GitHub25%
Amazon CloudWatch15%
AI & ML
ChatGPT5%
LLM5%
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Full Reazon tech stack
75 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
28/100
Slowing
Open positions
38
0 opened / 0 closed in 30 days
Median time-to-fill
18 days
faster than 54% of the market
ATS activity
Every ~4 hours
Today
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Early Careers
18% ▲
AI/ML
13% ▲
Hardware
10% ▲
Backend
8% ▲
Finance
8% ▲
Industrial Engineering
8% ▲
Actively hiring for Early Careers (+7 in 30 days)
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Tokyo
Tokyo
Japan
Regional office
20 open roles 21 posted in 90 days 50% engineering
hires for Early Careers, Backend, Data Science
Jobs
In office • 3+ years exp • Japan
Python
C++
Reinforcement Learning
Multimodal AI
DevOps
Git
Docker
Linux
Robotics
Isaac Sim
MuJoCo
Sensor Fusion
Perception
Sim-to-Real
Reinforcement Learning
Apply
In office • Japan
Python
C++
Reinforcement Learning
Multimodal AI
World Models
Physical AI
DevOps
Git
Docker
Linux
Robotics
Imitation Learning
Reinforcement Learning
Apply
Apply
Apply
In office • 3+ years exp • Japan
Python
C++
Reinforcement Learning
Multimodal AI
DevOps
Git
Docker
Linux
Robotics
Isaac Sim
MuJoCo
Sensor Fusion
Perception
Sim-to-Real
Reinforcement Learning
Apply
In office • Japan
Python
C++
Reinforcement Learning
Multimodal AI
World Models
Physical AI
DevOps
Git
Docker
Linux
Robotics
Imitation Learning
Reinforcement Learning
Apply
Apply
Apply
In office • Japan
C++
RTOS
Linux
Robotics
EtherCAT
PID Control
Apply
Apply
Apply
Apply