General requirements:

• Citizens of Kazakhstan and permanent residents who are eligible to work in this country

• Final year university students, graduates and specialists changing careers

• Individuals aged 18 years and older

Skills requirements:

• English level from B2 (Upper-Intermediate) and higher

• IT or economic / logistic / accounting experience and/or education

• Basic knowledge of databases and SQL

• Good oral and written communication skills.

• Ability to conduct business correspondence and negotiations with clients.

• Experience in sales, customer service or customer support will be an advantage.

• Confident ownership of CRM systems (Bitrix24, amoCRM or their analogues).

• Responsibility, attention to detail and result orientation.

• Skills in working with modern digital tools and artificial intelligence are welcome.

• At least 5+ years of commercial Python development experience

• Strong knowledge of frameworks: Django / FastAPI / Flask

• Experience working with SQL and relational databases (PostgreSQL/MySQL)

• Understanding the principles of OOP, SOLID, Clean Architecture

• Experience with message queues (RabbitMQ, Kafka)

• Experience in containerization (Docker) and orchestration (Kubernetes)

• Skills of working with version control systems (Git)

• Understanding CI/CD processes

• Experience working with cloud platforms (AWS/ GCP / Azure)

• Ability to design high-load systems

It will be a plus:

• Experience working with microservice architecture

• Knowledge of asynchronous Python (asyncio, Celery)

• Experience working with AI/ML services

Requirements

• 0.5–2 years of experience in QA (manual and automation testing).
• Understanding of the QA process: test design, testing types, bug reporting, severity/priority, regression and smoke testing.
• Ability to read and write tests in JavaScript/TypeScript.
• Basic experience with Playwright (or Cypress/another similar framework, with willingness to switch to Playwright).
• Understanding of the Page Object Model (POM) pattern and why locators should not be hardcoded directly into test cases.
• Basic SQL skills (SELECT queries with JOINs to verify data in MySQL).
• Experience using DevTools and the Network tab to validate API responses.
• Confident Git/GitHub usage: branches, Pull Requests, and GitHub Actions (running workflows and reading logs).
• API testing experience using Postman or another HTTP client, with a basic understanding of REST APIs.
• English sufficient to read technical documentation.

Nice to Have

• Experience with Quasar, Vue, or other SPA frameworks, including understanding UI rendering issues and race conditions.
• Basic Docker knowledge (the project runs in containers).
• Experience testing AI/LLM-powered features, including approaches for validating non-deterministic outputs.
• Understanding of testability attributes, including the purpose of data-testid and willingness to collaborate with frontend developers to add them when needed.

Soft Skills

• Strong attention to detail.
• Ability to reliably reproduce and isolate bugs.
• Confidence in communicating with Product Managers and Developers.
• Clear and precise written communication.

• The desire to learn and develop in the field of DevOps
• Basic knowledge of Linux operating systems (RHEL, Debian, Ubuntu)
• Interest in virtualization (KVM, VMware, Hyper-V, ProxMox)
• Knowledge of containerization technologies (Docker, Kubernetes, Openshift) is desirable
• Understanding the basics of network infrastructure (DNS, Routing, VLAN, VPN)
• Basic knowledge of DBMS (MS SQL, MySQL, PostgreSQL)
• Interest in working with Redis and RabbitMQ
• It is advisable to get acquainted with monitoring tools (Zabbix, Grafana, Prometheus, LOKI, GrayLog)
• The desire to study process automation (Ansible, bash, python)
• Knowledge of GIT (BitBucket, GitLab) will be an advantage

What a candidate should know:

• ViT & Multimodality: A deep understanding of Vision Transformers (ViT, Swin, DETR) and video Transformers (TimeSformer, ViViT). Experience working with VLM (LLaVA, Qwen-VL) at the interface of text and video streams, fine-tuning (LoRA/QLoRA).
• Video Analytics & DeepStream: Designing highload pipelines for real-time video analytics. Practical experience with NVIDIA DeepStream SDK (GStreamer, nvinfer, multi-streaming, tracking), processing RTSP streams with minimal latency.
• GPU Optimization & TensorRT: Profiling and acceleration of inference on GPU. Confident work with TensorRT (layer fusion, INT8/FP16 calibration, dynamic shapes, building engines via trtexec), understanding CUDA specifics and memory bottlenecks.
• OpenVINO & Quantization: Optimization of models for CPU/Edge deployment. Experience working with OpenVINO and NNCF for Post-Training Quantization (INT8/INT4), accuracy-aware tuning and minimizing quality degradation during compression.
• Dynamo & Compilation of graphs: Using PyTorch 2.0 Dynamo (torch.compile) for JIT compilation and graph merging (AOTAutograd, Triton kernels), accelerated learning and out-of-the-box inference.
• LLM & Custom Agent Systems: Designing agent-based architectures on top of LLM without strict reference to the "magic" of frameworks. Implementation of state graphs (LangGraph, finite automata), custom Tool Calling/Function Calling, ReAct/Plan-and-Execute patterns, agent context and memory management, multi-agent interaction orchestration. LLM Serving (vLLM, Continuous Batching).
• RAG & Retrieval: Pipeline design from chunking to generation. Understanding vector databases (HNSW), embedding types (Dense, Sparse, ColBERT), and rerun architecture.
• System Design & MLOps: End-to-end AI architecture design (FastAPI, K8s, Kafka), Cost/Performance trade-off calculation, LLMOps (Evaluation: RAGAS, LLM-as-a-Judge), CI/CD for ML models.

• At least 3 years of commercial Python development experience.
• Strong knowledge of Python.
• RabbitMQ;
• Practical experience with:FastAPI;Flask;Redis;Docker;SQL;Git.FastAPI;Flask;Redis;Docker;SQL;Git.
• Understanding the principles of REST API development.
• Experience working with Linux systems.

It will be an advantage

• Experience working with HTML, CSS, and JavaScript.
• Experience working with Red Hat Enterprise Linux.
• Understanding how web applications work on the client side.

— Confident programming in Python/Django

— Knowledge of JavaScript

— Experience working with GitHub

— Experience working with Claude

— Knowledge of English (required)  

It will be a plus: knowledge of 1C programming, proficiency in other programming languages, relevant work experience.

• Excellent knowledge of the 1C platform:Enterprise 8.3 and BSL languages.
• The experience of commercial development on 1C is from 3-5 years.
• Practical experience in developing and publishing HTTP services in 1C.
• Confident work with JSON, structured data processing and external exchanges.
• Experience integrating 1C with external systems via API and web services.
• Experience in finalizing standard configurations without removing them from support through the extension mechanism.
• Experience setting up event subscriptions and integration handlers.
• Understanding the principles of idempotence, query re-processing, and duplicate control.
• Experience publishing databases on IIS or Apache.
• Understanding basic security principles: HTTPS, SSL, tokenized authorization and differentiation of access rights.

• At least 2 years of experience as a DevOps Engineer
• Experience with Kubernetes and Docker
• Knowledge of Helm and ability to create charts
• Experience with IaC tools: Terraform, Ansible\
• Familiarity with CI/CD platforms (TeamCity, Jenkins)
• Strong Unix system administration skills
• Understanding of network architecture and principles of network security
• Experience working with cloud providers like AWS
• Experience administering monitoring and notification systems (Zabbix, Graylog, Grafana, Prometheus, ELK)
• Knowledge and experience in administering databases (SQL/NoSQL)
• Automation tool development skills
• Ability to write scripts in Bash/Python
• Basic programming knowledge