AMP
amp.com.au
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Professional Services
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Financial Services
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
How AMP hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
AMP scores B on the Alion truth index (A is best, E worst), measured over 3 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Tech stack
Technologies named in job postings at AMP over the last 12 months, by layer, with the share of postings for each.
Technologies in use
40
Postings analysed
8
Stack modernity
73/100
Languages
Python
SQL
JavaScript
Scala
Frameworks & libraries
Angular
Databases
Amazon Redshift
Cloud & platforms
AWS
Azure
Amazon SageMaker
Apache Kafka
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Full AMP tech stack
40 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
27/100
Slowing
Open positions
10
0 opened / 0 closed in 30 days
Median time-to-fill
27 days
faster than 45% of the market
ATS activity
Every ~4 hours
10/01/2026
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.
Product
17% ▲
Finance
17% ▲
Support
8% ▼
Administrative
8% ▲
Analytics
8% ▼
HR
8% ▲
Offices
Where the company hires and what each office is for
Cities
3
Hiring now
3
Countries
1
Busiest office
Sydney
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Headquarters
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Office with open vacancies
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Sydney
Australia
Corporate office
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4 open roles 6 posted in 90 days
hires for Product, Administrative, Finance
Melbourne
Australia
2 open roles 2 posted in 90 days 100% engineering
hires for AI/ML, Analytics
Parramatta
Australia
1 open roles 1 posted in 90 days
hires for Customer Success
Jobs
≈ $99k – $215k per year (Estimated) • In office • 7+ years exp • Sydney
Apply
≈ $77k – $175k per year (Estimated) • In office • 10+ years exp • Melbourne
SQL
Apply
Apply
≈ $107k – $270k per year (Estimated) • In office • Melbourne
Python
Databricks
AI/ML
AI Agents
NLP
RAG
Amazon SageMaker
Machine Learning
DevOps
Azure
AWS
Platform Engineering
Management
Agile
Apply
≈ $85k – $224k per year (Estimated) • In office • Australia
Python
SQL
Scala
pySpark
Databases
Amazon Redshift
AI/ML
Spark
Embeddings
AI Agents
Semantic Search
Semantic Search
LLM Guardrails
DevOps
GitHub Actions
CI/CD
Git
AWS
Incident Management
Amazon S3
IAM
Analytics
AWS Glue
Apply