SLO Technologies tech stack

SLO Technologies builds mostly with Python, SQL, JavaScript, TypeScript. Its stack also includes Kubernetes, PostgreSQL, Django, RabbitMQ. Python is named in 7 of the 7 job postings SLO Technologies published in the last 12 months (100%). Counted by Alion from the job postings of SLO Technologies, updated Oct 1, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 1, 2026
Technologies in use
67
Postings analysed
7
Open now
4
Modernity
89 /100

What programming languages does SLO Technologies use?

Python is named in 100% of job postings at SLO Technologies, followed by SQL (43%), JavaScript (43%), TypeScript (43%).

Python 7 100% required in 100% · 4 open now · since Aug 2026
SQL 3 43% required in 100% · 3 open now · since Aug 2026
JavaScript 3 43% optional · since Aug 2026
TypeScript 3 43% optional · since Aug 2026

What frameworks and libraries does SLO Technologies use?

Django is named in 71% of job postings at SLO Technologies, followed by Celery (43%), FastAPI (43%), Angular (43%).

Django 5 71% required in 100% · 2 open now · since Aug 2026
Celery 3 43% required in 100% · since Aug 2026
FastAPI 3 43% required in 100% · since Aug 2026
Angular 3 43% optional · since Aug 2026
Django REST Framework 2 29% required in 100% · 2 open now · since Aug 2026
Transformers 2 29% required in 100% · 2 open now · since Aug 2026
LangChain 2 29% required in 50% · 2 open now · since Aug 2026
LlamaIndex 2 29% required in 50% · 2 open now · since Aug 2026
Show all (15)
NLTK1
NumPy1
Pandas1
PyTorch1
Sentence-Transformers1
TensorFlow1
spaCy1

What databases does SLO Technologies use?

PostgreSQL is named in 71% of job postings at SLO Technologies, followed by MySQL (29%), Milvus (14%), Pinecone (14%).

PostgreSQL 5 71% required in 100% · 2 open now · since Aug 2026
MySQL 2 29% required in 100% · 2 open now · since Aug 2026
Milvus 1 14% required in 100% · 1 open now · since Sep 2026
Pinecone 1 14% required in 100% · 1 open now · since Sep 2026
Weaviate 1 14% required in 100% · 1 open now · since Sep 2026

What cloud and platforms does SLO Technologies use?

Kubernetes is named in 71% of job postings at SLO Technologies, followed by RabbitMQ (43%), Hugging Face (29%), Ollama (14%).

Kubernetes 5 71% required in 80% · 2 open now · since Aug 2026
RabbitMQ 3 43% required in 100% · since Aug 2026
Hugging Face 2 29% required in 100% · 2 open now · since Aug 2026
Ollama 1 14% required in 100% · 1 open now · since Sep 2026
OpenAI 1 14% required in 100% · 1 open now · since Aug 2026
Vertex AI 1 14% required in 100% · 1 open now · since Aug 2026
vLLM 1 14% required in 100% · 1 open now · since Sep 2026
AWS 1 14% optional · 1 open now · since Aug 2026
Show all (10)
Azure1
GCP1

What developer tools does SLO Technologies use?

Rest API is named in 43% of job postings at SLO Technologies, followed by Git (29%), Docker (14%).

Rest API 3 43% required in 100% · 3 open now · since Aug 2026
Git 2 29% required in 100% · 2 open now · since Aug 2026
Docker 1 14% required in 100% · 1 open now · since Sep 2026

What AI and ML technologies does SLO Technologies use?

LLM is named in 71% of job postings at SLO Technologies, followed by DeepSeek (14%), Falcon (14%), Gemma (14%).

LLM 5 71% required in 80% · 2 open now · since Aug 2026
DeepSeek 1 14% required in 100% · 1 open now · since Sep 2026
Falcon 1 14% required in 100% · 1 open now · since Sep 2026
Gemma 1 14% required in 100% · 1 open now · since Sep 2026
Llama 1 14% required in 100% · 1 open now · since Sep 2026
LoRA 1 14% required in 100% · 1 open now · since Sep 2026
Mistral 1 14% required in 100% · 1 open now · since Sep 2026
PEFT 1 14% required in 100% · 1 open now · since Sep 2026
Show all (10)
QLoRA1
Qwen1

Which engineering practices does SLO Technologies ask for?

AI Agents is named in 71% of job postings at SLO Technologies, followed by RAG (71%), NER (57%), CI/CD (43%).

AI Agents 5 71% required in 100% · 2 open now · since Aug 2026
RAG 5 71% required in 80% · 2 open now · since Aug 2026
NER 4 57% required in 100% · 1 open now · since Aug 2026
CI/CD 3 43% required in 100% · since Aug 2026
OCR 3 43% required in 100% · since Aug 2026
Platform Engineering 3 43% required in 100% · since Aug 2026
Machine Learning 2 29% required in 100% · 2 open now · since Aug 2026
NLP 2 29% required in 100% · 2 open now · since Aug 2026
Show all (20)
Prompt Engineering2
Agentic Workflows1
DPO1
Fine-tuning1
Hallucination1
Knowledge Distillation1
Model Distillation1
Multi-Agent Systems1
Quantization1
Edge AI1
Embeddings1
RLHF1

What does each SLO Technologies team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Backend

3 postings
Django3
PostgreSQL3
Python3
Django REST Framework2
Git2
MySQL2

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How modern is the SLO Technologies stack?

Cutting-edge AI adopter 89/100

SLO Technologies scores 89 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: 10; legacy ones: 0.

How common is the SLO Technologies stack in its industry?

Share of the 469 companies in the same industries, whose stack Alion knows, that use each technology.

Python60%
Django9%
Kubernetes46%
LLM33%
PostgreSQL46%
Angular18%
Celery3%
FastAPI13%
JavaScript57%
RabbitMQ13%

What sets SLO Technologies apart

Celery3%

Questions about the SLO Technologies tech stack

What programming languages does SLO Technologies use?

The languages named in SLO Technologies job postings are Python (100%), SQL (43%), JavaScript (43%), TypeScript (43%), as a share of the 7 postings of the last 12 months.

Does SLO Technologies use Django?

Yes. Django is named in 5 of 7 job postings (71%) and required in 5 of them.

What cloud and platforms does SLO Technologies use?

The cloud and platforms named in SLO Technologies job postings are Kubernetes (5), RabbitMQ (3), Hugging Face (2) (postings in brackets).

What skills do you need for a Backend job at SLO Technologies?

Backend postings at SLO Technologies most often require Django (3), PostgreSQL (3), Python (3), Django REST Framework (2), out of 3 postings in the last 12 months.

Is the SLO Technologies tech stack changing?

No new technology has appeared in SLO Technologies job postings in the last six months.

How modern is the SLO Technologies tech stack?

SLO Technologies scores 89 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: 10; legacy ones: 0.

How does Alion know the SLO Technologies tech stack?

Alion reads every job posting SLO Technologies publishes and tags the technologies each one names. The figures on this page count the 7 postings of the last 12 months and were updated on Oct 1, 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, "SLO Technologies tech stack: 67 technologies from 7 job postings", as of Oct 1, 2026. https://alion.io/company/slo-technologies/technologies

Licence: CC BY-SA 4.0JSON