Actively hiring
Real Estate Brokerage
PropTech
View 16 jobs
Follow
Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Overview
REA Group is a global digital advertising company specializing in real estate and property tech. Founded in 1995, the company provides platforms, data services, and technology solutions to help people buy, rent, and sell residential and commercial properties. Headquartered in Melbourne, Australia, it operates across multiple international markets, including Asia and North America.
Tech stack
Technologies named in job postings at REA Group over the last 12 months, by layer, with the share of postings for each.
Technologies in use
92
Postings analysed
32
Stack modernity
80/100AI adopter
Languages
SQL28%
Python25%
TypeScript25%
Kotlin22%
Frameworks & libraries
PyTorch6%
Scikit-learn6%
Dagster3%
FastAPI3%
Databases
Google BigQuery28%
BigQuery25%
DynamoDB6%
PostgreSQL6%
Cloud & platforms
AWS47%
GCP28%
Apache Kafka25%
Azure9%
AI & ML
LLM9%
Claude3%
Sign in to see how your skills match this stack
Sign In
Full REA Group tech stack
92 technologies · by team · pay by technology · changes · similar stacks
People

Owen Wilson
Executive Officer, Director

Janelle Hopkins
Executive Officer

Henry Ruiz
Executive Officer

Val Brown
Executive Officer

Mary Lemonis
Executive Officer

Kul Singh
Executive Officer

Tomas Varsavsky
Executive Officer

Melina Cruickshank
Executive Officer

Tamara Kayser
Director

Hamish McLennan
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove
Growth
Hiring Momentum
92/100
Scaling fast
Open positions
27
19 opened / 14 closed in 30 days
Median time-to-fill
26 days
faster than 46% of the market
ATS activity
Every ~1 hours
Today
Hiring Dynamics
+100%
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.
Backend
25% ▼
Customer Success
15% ▲
AI/ML
8% ▲
Data Science
8% ▼
Sales
8% ▲
Analytics
6% ▼
Actively hiring for Customer Success (+4 in 30 days)
Activity Timeline
Added SOAP to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added NumPy to stack
Sep 2026
Added Jira to stack
Sep 2026
Added Git to stack
Sep 2026
Added Confluence to stack
Sep 2026
Added Kanban to stack
Sep 2026
Added Agile to stack
Sep 2026
Added SSIS to stack
Sep 2026
Added Braze to stack
Sep 2026
Added Rest API to stack
Sep 2026
+4 jobs in a week
Sep 2026
Offices
Where the company hires and what each office is for
Cities
7
Hiring now
6
Countries
3
Busiest office
Richmond
Loading the map
Headquarters
Builds here
Office with open vacancies
No open vacancies right now Tap a pin for the office
Melbourne
Australia
HQ
Richmond
United States
Plant / site
Richmond, Melbourne VIC
20 open roles 37 posted in 90 days 55% engineering
hires for Backend, AI/ML, Customer Success
Sydney
Australia
Engineering / R&D
Richmond, Melbourne VIC
8 open roles 14 posted in 90 days 75% engineering
hires for AI/ML, Backend, Data Science
Brisbane
Australia
Fortitude Valley, Brisbane QLD
1 open roles 3 posted in 90 days
hires for Sales
Adelaide
Australia
Subiaco, Perth, Western Australia
1 open roles 1 posted in 90 days
hires for Sales
Perth
Australia
1 open roles 1 posted in 90 days
hires for Sales
Gurgaon
India
1 open roles 1 posted in 90 days 100% engineering
hires for Backend
Jobs
≈ $106k – $253k per year (Estimated) • Hybrid • Full-Time • Richmond
Semantic Search
Machine Learning
Apply
≈ $95k – $208k per year (Estimated) • In office • Full-Time • 7+ years exp • Richmond
Python
Java
Kotlin
Scala
Snowflake
Apache Kafka
Google BigQuery
Amazon Redshift
BigQuery
AI/ML
Spark
Dagster
dbt
Prefect
Flink
DevOps
GCP
Azure
CI/CD
AWS
Analytics
ETL/ELT
Management
Agile
Apply
≈ $53k – $150k per year (Estimated) • In office • Full-Time • 2+ years exp • Sydney
Python
SQL
Google BigQuery
BigQuery
AI/ML
Scikit-learn
NumPy
Machine Learning
DevOps
Git
AWS
Docker
Management
Confluence
Jira
Apply
In office • Full-Time • Richmond
Java
Kotlin
Scala
CI/CD
Management
Agile
Kanban
Apply
≈ $49k – $140k per year (Estimated) • In office • Full-Time • 3+ years exp • Richmond
Agile
Apply
≈ $124k – $278k per year (Estimated) • In office • Full-Time • Richmond • Sydney
Python
SQL
Apache Kafka
Google BigQuery
BigQuery
AI/ML
Embeddings
Multimodal AI
LLM
Machine Learning
DevOps
CI/CD
AWS
Apply
In office • Full-Time • Richmond
Java
Kotlin
TypeScript
Apache Kafka
Google BigQuery
BigQuery
Frontend
GraphQL
DevOps
Rest API
CI/CD
AWS
AWS Lambda
Amazon EC2
Amazon S3
Management
Agile
Apply
≈ $88k – $220k per year (Estimated) • In office • Full-Time • Richmond • Sydney
Python
SQL
Apache Kafka
Google BigQuery
BigQuery
AI/ML
Embeddings
Multimodal AI
PyTorch
Machine Learning
DevOps
CI/CD
AWS
Docker
Apply
In office • Full-Time • 3+ years exp • Richmond
Kotlin
CI/CD
Management
Agile
Apply
≈ $74k – $181k per year (Estimated) • In office • Full-Time • 5+ years exp • Richmond
Python
JavaScript
TypeScript
SQL
Node JS
Apache Kafka
Google BigQuery
BigQuery
DevOps
Terraform
GCP
CloudFormation
CI/CD
AWS
Docker
Platform Engineering
Apply
≈ $90k – $169k per year (Estimated) • In office • Full-Time • Richmond • Sydney
JavaScript
TypeScript
Node JS
MS SQL
Google BigQuery
BigQuery
DevOps
CI/CD
AWS
Docker
Amazon EC2
Amazon S3
Analytics
ETL/ELT
SSIS
Apply
≈ $119k – $245k per year (Estimated) • In office • Full-Time • 10+ years exp • Richmond • Sydney
Google BigQuery
BigQuery
Frontend
GraphQL
DevOps
Rest API
GCP
CI/CD
AWS
Apply
Financials
Total raised
$35M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2020 | $35M | Details |
