Amazon Filters tech stack
Amazon Filters builds mostly with SQL, Java, Python, C++. Its stack also includes AWS, Amazon S3, Amazon Redshift, DynamoDB. AWS is named in 19 of the 42 job postings Amazon Filters published in the last 12 months (45%). Counted by Alion from the job postings of Amazon Filters, updated Oct 17, 2026.
What programming languages does Amazon Filters use?
SQL is named in 24% of job postings at Amazon Filters, followed by Java (19%), Python (17%), C++ (14%).
C++ 
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What frameworks and libraries does Amazon Filters use?
Angular is named in 2% of job postings at Amazon Filters, followed by React.js (2%), Hadoop (2%).
What databases does Amazon Filters use?
Amazon Redshift is named in 17% of job postings at Amazon Filters, followed by DynamoDB (5%), MySQL (2%), Oracle (2%).
What cloud and platforms does Amazon Filters use?
AWS is named in 45% of job postings at Amazon Filters, followed by Amazon S3 (17%), AWS Lambda (14%), Amazon Kinesis (14%).
AWS
19 45%
AWS Lambda
6 14%
Amazon EC2
2 5%
Spark
2 5%
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What developer tools does Amazon Filters use?
AWS Glue is named in 14% of job postings at Amazon Filters, followed by TPU (5%), DataStage (2%), Informatica (2%).
What AI and ML technologies does Amazon Filters use?
LLM is named in 24% of job postings at Amazon Filters.
LLM
10 24%
Which engineering practices does Amazon Filters ask for?
Machine Learning is named in 31% of job postings at Amazon Filters, followed by ETL/ELT (21%), AI Agents (14%), IAM (14%).
AI Agents
6 14%
Show all (19)
What does each Amazon Filters team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
23 postingsData Science
8 postingsHow does your stack fit Amazon Filters?
How modern is the Amazon Filters stack?
Amazon Filters scores 75 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: 1; legacy ones: 0.
How common is the Amazon Filters stack in its industry?
Share of the 1,017 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Amazon Filters apart
Companies with a stack like Amazon Filters
Questions about the Amazon Filters tech stack
What programming languages does Amazon Filters use?
The languages named in Amazon Filters job postings are SQL (24%), Java (19%), Python (17%), C++ (14%), C# (10%), as a share of the 42 postings of the last 12 months.
Does Amazon Filters use AWS?
Yes. AWS is named in 19 of 42 job postings (45%) and required in 15 of them.
What cloud and platforms does Amazon Filters use?
The cloud and platforms named in Amazon Filters job postings are AWS (19), Amazon S3 (7), AWS Lambda (6) (postings in brackets).
What skills do you need for a Backend job at Amazon Filters?
Backend postings at Amazon Filters most often require AWS (7), LLM (7), Java (6), C++ (4), out of 23 postings in the last 12 months.
Is the Amazon Filters tech stack changing?
No new technology has appeared in Amazon Filters job postings in the last six months.
How modern is the Amazon Filters tech stack?
Amazon Filters scores 75 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: 1; legacy ones: 0.
How does Alion know the Amazon Filters tech stack?
Alion reads every job posting Amazon Filters publishes and tags the technologies each one names. The figures on this page count the 42 postings of the last 12 months and were updated on Oct 17, 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, "Amazon Filters tech stack: 60 technologies from 42 job postings", as of Oct 17, 2026. https://alion.io/company/amazon-filters/technologies