Metropolis tech stack
Metropolis builds mostly with Scala, Java, TypeScript, Python. Its stack also includes AWS, Snowflake, Datadog, MySQL. AWS is named in 28 of the 85 job postings Metropolis published in the last 12 months (33%). Counted by Alion from the job postings of Metropolis, updated Sep 26, 2026.
What programming languages does Metropolis use?
Scala is named in 21% of job postings at Metropolis, followed by Java (20%), TypeScript (19%), Python (18%).
Scala
18 21%
Java
17 20%
TypeScript
16 19%
Python
15 18%
SQL
12 14%
Bash
3 4%
JavaScript
3 4%
C++
1 1%
What frameworks and libraries does Metropolis use?
PyTorch is named in 4% of job postings at Metropolis, followed by TensorFlow (4%), React.js (4%), Next.js (2%).
PyTorch
3 4%
TensorFlow
3 4%
React.js
3 4%
Next.js
2 2%
Hadoop
1 1%
LangChain
1 1%
PyTorch C++
1 1%
Scikit-learn
1 1%
Show all (10)
What databases does Metropolis use?
Snowflake is named in 24% of job postings at Metropolis, followed by MySQL (22%), PostgreSQL (22%), Amazon Aurora (4%).
What cloud and platforms does Metropolis use?
AWS is named in 33% of job postings at Metropolis, followed by Datadog (22%), GitHub (19%), Apache Kafka (11%).
AWS
28 33%
Datadog
19 22%
GitHub
16 19%
Apache Kafka
9 11%
Kubernetes
8 9%
Amazon EKS
4 5%
Spark
4 5%
Show all (24)
What developer tools does Metropolis use?
Copilot is named in 19% of job postings at Metropolis, followed by Git (19%), Microsoft Excel (14%), Claude Code (14%).
Copilot
16 19%
Git
16 19%
Claude Code
12 14%
gRPC
5 6%
Helm
4 5%
Terraform
4 5%
Envoy
3 4%
Show all (16)
What AI and ML technologies does Metropolis use?
LLM is named in 13% of job postings at Metropolis, followed by Claude (5%), ChatGPT (1%).
Which engineering practices does Metropolis ask for?
Computer Vision is named in 38% of job postings at Metropolis, followed by Edge AI (34%), AI Agents (14%), CI/CD (13%).
Computer Vision
32 38%
AI Agents
12 14%
CI/CD
11 13%
SLI/SLO/SLA
9 11%
Platform Engineering
6 7%
Show all (31)
What does each Metropolis team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
13 postingsAI/ML
4 postingsHow does your stack fit Metropolis?
How much does Metropolis pay by technology?
Median stated pay of the postings that name each technology, against the median of all Metropolis postings with stated pay: $163k across 76 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| AWS | 20 | $225k | +38% |
| Datadog | 15 | $225k | +38% |
| Snowflake | 14 | $255k | +57% |
| Python | 13 | $215k | +32% |
| MySQL | 12 | $249k | +53% |
| PostgreSQL | 12 | $249k | +53% |
| Scala | 12 | $249k | +53% |
| Java | 12 | $249k | +53% |
| GitHub | 12 | $249k | +53% |
| TypeScript | 12 | $249k | +53% |
How is the Metropolis stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Metropolis stack?
Metropolis scores 85 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 3; legacy ones: 0.
Companies with a stack like Metropolis
Questions about the Metropolis tech stack
What programming languages does Metropolis use?
The languages named in Metropolis job postings are Scala (21%), Java (20%), TypeScript (19%), Python (18%), SQL (14%), as a share of the 85 postings of the last 12 months.
Does Metropolis use PyTorch?
Yes. PyTorch is named in 3 of 85 job postings (4%) and required in 3 of them.
What cloud and platforms does Metropolis use?
The cloud and platforms named in Metropolis job postings are AWS (28), Datadog (19), GitHub (16) (postings in brackets).
What skills do you need for a Backend job at Metropolis?
Backend postings at Metropolis most often require Java (12), Scala (12), Copilot (9), GitHub (9), out of 13 postings in the last 12 months.
Is the Metropolis tech stack changing?
Yes. Progressive Delivery, MQTT, gRPC, Redis first appeared in Metropolis job postings in the last six months.
How modern is the Metropolis tech stack?
Metropolis scores 85 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 3; legacy ones: 0.
How does Alion know the Metropolis tech stack?
Alion reads every job posting Metropolis publishes and tags the technologies each one names. The figures on this page count the 85 postings of the last 12 months and were updated on Sep 26, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Metropolis tech stack: 98 technologies from 85 job postings", as of Sep 26, 2026. https://alion.io/company/metropolis-mag/technologies