Meraki Labs tech stack
Meraki Labs builds mostly with Python, Java, Go, JavaScript. Its stack also includes AWS, Azure, FastAPI, LangChain. Python is named in 17 of the 24 job postings Meraki Labs published in the last 12 months (71%). Counted by Alion from the job postings of Meraki Labs, updated Sep 26, 2026.
What programming languages does Meraki Labs use?
Python is named in 71% of job postings at Meraki Labs, followed by Java (38%), Go (33%), JavaScript (33%).
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What frameworks and libraries does Meraki Labs use?
FastAPI is named in 29% of job postings at Meraki Labs, followed by LangChain (29%), AutoGen (21%), CrewAI (21%).
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What databases does Meraki Labs use?
Pinecone is named in 21% of job postings at Meraki Labs, followed by Weaviate (21%), Chroma (17%), Qdrant (13%).
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What cloud and platforms does Meraki Labs use?
AWS is named in 50% of job postings at Meraki Labs, followed by Azure (46%), GCP (42%), Kubernetes (38%).
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What developer tools does Meraki Labs use?
Docker is named in 33% of job postings at Meraki Labs, followed by Copilot (17%), Claude Code (13%), Semantic Kernel (13%).
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What AI and ML technologies does Meraki Labs use?
LLM is named in 63% of job postings at Meraki Labs, followed by Claude (25%), Gemini (21%), Llama (8%).
Which engineering practices does Meraki Labs ask for?
AI Agents is named in 67% of job postings at Meraki Labs, followed by RAG (58%), CI/CD (33%), NLP (25%).
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What does each Meraki Labs team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
9 postingsBackend
9 postingsHow does your stack fit Meraki Labs?
How modern is the Meraki Labs stack?
Meraki Labs scores 90 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: 7; legacy ones: 0.
How common is the Meraki Labs stack in its industry?
Share of the 54 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Meraki Labs apart
Companies with a stack like Meraki Labs
Questions about the Meraki Labs tech stack
What programming languages does Meraki Labs use?
The languages named in Meraki Labs job postings are Python (71%), Java (38%), Go (33%), JavaScript (33%), Node JS (21%), as a share of the 24 postings of the last 12 months.
Does Meraki Labs use FastAPI?
Yes. FastAPI is named in 7 of 24 job postings (29%) and required in 4 of them.
What cloud and platforms does Meraki Labs use?
The cloud and platforms named in Meraki Labs job postings are AWS (12), Azure (11), GCP (10) (postings in brackets).
What skills do you need for a AI/ML job at Meraki Labs?
AI/ML postings at Meraki Labs most often require LLM (7), Python (7), Anthropic (4), AutoGen (4), out of 9 postings in the last 12 months.
Is the Meraki Labs tech stack changing?
No new technology has appeared in Meraki Labs job postings in the last six months.
How modern is the Meraki Labs tech stack?
Meraki Labs scores 90 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: 7; legacy ones: 0.
How does Alion know the Meraki Labs tech stack?
Alion reads every job posting Meraki Labs publishes and tags the technologies each one names. The figures on this page count the 24 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, "Meraki Labs tech stack: 109 technologies from 24 job postings", as of Sep 26, 2026. https://alion.io/company/meraki-labs/technologies
