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• ⚙️ Senior Backend & DevOps engineer (5+ years) — building production systems with Node.js / NestJS, Go, and Python/ML
• ☁️ I design end-to-end platforms: from infra & CI/CD and observability, to APIs, data pipelines and real-time features
• 🌍 Work across EN / RU / FA, remote-first, used to leading small teams, mentoring juniors and cleaning up legacy
• 📍 Based in Russia (UTC+3), open to remote roles (EU-friendly timezones / worldwide)
• 💼 Open to Senior Backend / DevOps / Go / Node.js roles (full-time, remote/hybrid)
• ✅ Used to owning products long-term: from first commit to production, monitoring, incident handling and continuous improvement

• Senior Backend & DevOps (5+ years) — Node.js (NestJS), Go, cloud-native backends
• Experience in edtech, content platforms, infra/VPN, B2B SaaS
• Strong in architecture → implementation → CI/CD → monitoring and mentoring juniors
• Looking for Senior Backend (Node.js / Go) / DevOps roles — remote, EU-friendly timezones, long-term collaboration

• 🧠 Learning — deeper CS, architecture, distributed systems (not just chasing new frameworks)
• 🧱 Technology & blockchain — C++-style financial engines, secure infra, high-throughput systems
• 🤖 Forex robots & algo-trading — data collection, backends, monitoring, ML-flavoured experiments
• 🗣 Communication & teaching — clear READMEs, docs, mentoring, explaining complex systems in simple language
• 📚 Reading — system design, engineering culture, business & psychology

• Node.js / TypeScript – NestJS, Express, Fastify, Socket.IO, REST, GraphQL, gRPC
• Go – Gin, gRPC, REST APIs, worker pools, Telegram bots, scraping, distributed cache
• Python – Flask/FastAPI, ETL, ML services (pandas, NumPy, scikit-learn)
• Event-driven systems with Kafka / RabbitMQ, CQRS, modular monoliths, microservices
• RAG chatbots over docs with Qdrant / vector search

• React & Next.js – SSR/SSG, SEO, Redux, i18n & multi-language, Vercel, Core Web Vitals, content-heavy sites
• Vue 3 – Vite + Pinia + Tailwind, SPA dashboards
• Angular (enterprise) – standalone APIs, Signals, RxJS stores, Angular Material, PWA via service worker, ng2-charts
• TailwindCSS, SCSS/SASS, Material UI, Ant Design, classic HTML/CSS/JS

• PostgreSQL, MySQL, MongoDB (aggregation), Redis, ClickHouse, DynamoDB
• Kafka, RabbitMQ — messaging, async workflows, ETL pipelines
• Reporting, analytics, BigQuery, ETL pipelines for business metrics

• Classical ML with pandas, NumPy, scikit-learn — regression, classification, clustering on real datasets
  (sales forecasting, California housing, spam detection, customer segmentation)
• End-to-end pipelines: from EDA → feature engineering → model selection & tuning (Grid/RandomSearchCV) → deployment
  via FastAPI/Flask APIs, CLI tools, and occasional Streamlit dashboards
• Ops around ML: model persistence with joblib, basic monitoring (drift checks like PSI, simple performance reports)

• AWS (ECS, EC2, S3, CloudFront, ACM, Route53), GCP + BigQuery, DigitalOcean
• Docker, Docker Compose, Kubernetes, Nginx, Linux server administration
• CI/CD: GitHub Actions, Jenkins, Argo/GitOps, CircleCI
• Monitoring & observability with Grafana, Prometheus, logs & alerts

• Clean architecture, microservices, CQRS, event-driven systems
• SOLID, KISS, DRY, YAGNI, TDD/BDD (Jest, Mocha/Chai, Go test, pytest)
• Agile / Scrum, code reviews, reverse engineering legacy systems

• 🚀 Scaled an exam & student platform to 450k+ users using NestJS, PostgreSQL, Kafka, Kubernetes, Grafana and full CI/CD
• 🌍 Shipped a 14-language news platform (NestJS + Next.js + PostgreSQL + Docker) and cut AWS costs by ~2000ドル/month
• 👥 Delivered a business platform for 5000+ users on AWS ECS (EC2, S3, CloudFront, ACM, Route53) with real-time chat (WebSockets) and a blog system
• 🔐 Designed and shipped a VPN control-plane in Go + gRPC + PostgreSQL on top of Xray, with traffic accounting, link management and observability

• Production backends with NestJS, Go and Flask: multi-tenant CRMs, exam platforms, news portals, VPN control planes
• Data & ML pipelines: Python + scikit-learn, ETL jobs, BigQuery, forecasting models wired into real servicesm, regression, classification, clustering, spam detection, ML APIs (FastAPI/Streamlit)
• Distributed Go services: REST + gRPC APIs, Telegram bots, distributed cache, weather & monitoring services
• RAG assistants with Qdrant + LLMs answering FAQ/support over custom documentation
• High-load Node.js systems with Kafka/RabbitMQ, Mongo/Postgres, WebSockets, CI/CD and full monitoring

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If you’re hiring for backend / DevOps (Node.js or Go) and need someone who can own systems end-to-end, feel free to reach out on Telegram or email.