KREA tech stack
KREA builds mostly with Python, JavaScript, TypeScript. Its stack also includes PyTorch, Kubernetes, AWS, PostgreSQL. PyTorch is named in 5 of the 8 job postings KREA published in the last 12 months (63%). Counted by Alion from the job postings of KREA, updated Oct 8, 2026.
What programming languages does KREA use?
Python is named in 50% of job postings at KREA, followed by JavaScript (50%), TypeScript (50%).
What frameworks and libraries does KREA use?
PyTorch is named in 63% of job postings at KREA, followed by SvelteKit (50%), Svelte (50%), Zod (38%).
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What databases does KREA use?
PostgreSQL is named in 50% of job postings at KREA, followed by Redis (50%), ClickHouse (38%), Amazon Aurora (38%).
What cloud and platforms does KREA use?
Kubernetes is named in 50% of job postings at KREA, followed by AWS (50%), Amazon EKS (13%), GitHub (13%).
What developer tools does KREA use?
Docker is named in 38% of job postings at KREA, followed by FluxCD (38%), WebGPU (25%), Adobe After Effects (13%).
What AI and ML technologies does KREA use?
LLM is named in 25% of job postings at KREA, followed by VLM (25%).
Which engineering practices does KREA ask for?
Diffusion Models is named in 38% of job postings at KREA, followed by Reinforcement Learning (25%), Reinforcement Learning (25%), DPO (13%).
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What does each KREA team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
4 postingsAI/ML
3 postingsHow does your stack fit KREA?
How is the KREA 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 KREA stack?
KREA scores 74 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
Companies with a stack like KREA
Questions about the KREA tech stack
What programming languages does KREA use?
The languages named in KREA job postings are Python (50%), JavaScript (50%), TypeScript (50%), as a share of the 8 postings of the last 12 months.
Does KREA use PyTorch?
Yes. PyTorch is named in 5 of 8 job postings (63%) and required in 3 of them.
What cloud and platforms does KREA use?
The cloud and platforms named in KREA job postings are Kubernetes (4), AWS (4), Amazon EKS (1) (postings in brackets).
What skills do you need for a Backend job at KREA?
Backend postings at KREA most often require Kubernetes (4), PostgreSQL (4), Redis (4), SvelteKit (4), out of 4 postings in the last 12 months.
Is the KREA tech stack changing?
Yes. FSDP, LLM, Reinforcement Learning, Reinforcement Learning first appeared in KREA job postings in the last six months.
How modern is the KREA tech stack?
KREA scores 74 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
How does Alion know the KREA tech stack?
Alion reads every job posting KREA publishes and tags the technologies each one names. The figures on this page count the 8 postings of the last 12 months and were updated on Oct 8, 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, "KREA tech stack: 46 technologies from 8 job postings", as of Oct 8, 2026. https://alion.io/company/krea/technologies
