Жұмыс орындары

• Manage secure AWS production infrastructure, Linux servers, networking, DNS, and Nginx
• Build CI/CD pipelines
• Support data infrastructure

• 4+ years managing AWS production environments
• Strong Linux/Ubuntu administration skills
• HA PostgreSQL, PITR, and automated recovery experience
• Production Docker, Nginx, DNS, and CI/CD expertise
• Experience with Terraform or AWS CDK
• Microservices experience with Python/FastAPI and Java basics
• Observability setup: metrics, logs, tracing, SLOs, alerting
• ISO 27001 audit and compliance experience
• AWS Bedrock and LLM infrastructure experience

📧 anzor@silasinsurtech.com

• Build agentic AI workflows for sales, support, and RevOps
• Lead enrichment/scoring/routing
• Outbound/SDR research and personalization
• Freshdesk support deflection/ticket triage

• Python
• LLM APIs
• RAG
• prompt engineering
• workflow automation
• Claude Code or similar AI coding-agent experience

📧 jobs@eventum.ai

• test API and backend logic
• analyze logs and metrics
• verify data with PostgreSQL
• test mobile applications
• reproduce bugs in staging/production
• document detailed bug reports

• API testing (Postman / Insomnia)
• REST, JSON, FastAPI
• SQL (PostgreSQL)
• log monitoring (VictoriaLogs, Grafana)
• mobile testing (iOS / Android)
• CI/CD and GitLab

• React Native
• Appium / Playwright / Pytest
• Flipper / Charles / Proxyman
• TravelTech / fintech processes

📧 winner@ioka.uz

• Design frontend architecture and make key tech decisions
• Implement complex interfaces from Figma designs
• Develop and maintain internal design system
• Design client-side API interactions and error handling
• Set up and maintain CI/CD pipelines for on-premise deployment
• Optimize performance for large data sets

• 5+ years in frontend development
• 2+ years in architectural decisions
• Deep knowledge of TypeScript
• Modern state management (Redux Toolkit, Zustand, etc.)
• Experience with design systems
• Proficient testing (Jest, React Testing Library)
• Expertise in React with Suspense and Server Components

📧 hr@q-data.kz
📱 @balsheker23

• Deploy offline extraction LLM (open-weight, vLLM/llama.cpp)
• Train supervised audit models on clinical data
• Build evaluation harness and fairness slicing pipeline
• Prepare explainability artifacts (SHAP, model cards)

• 5+ years ML engineering
• Python
• Supervised tabular ML: LightGBM, XGBoost, scikit-learn
• Deployment of open-weight LLM: vLLM/llama.cpp, quantization (GGUF/AWQ/GPTQ)
• Experience in regulated/air-gapped environments
• Evaluation rigor: stratified hold-outs, bootstrap CIs, SHAP

• Knowledge of clinical NLP
• US ICD-10/CPT
• Fairlearn/AIF360

📧 gulnaz@rette.ai