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#вакансия #vacancy #TechLead #Lead #Fullstack #Node.js # Angular #удаленка #Fulltime #remote Role: Tech Lead (Node.js / Angular) Location: Remote Company: IREV https://irev.com/lead-distribution/ Salary: $5k-$7,5k 🔹About the role: This role is ideal for a strong Backend or Full-stack engineer who is ready to take ownership of architecture and guide a team toward cleaner, faster, and higher-quality development. Tech Stack: Backend: Node.js (TypeScript), distributed system; Frontend: Angular Databases: PostgreSQL, MongoDB, Redis, ClickHouse DevOps & Tools: Docker, GitLab CI/CD, Kubernetes, Prometheus, Grafana 🔹Key responsibilities: - Define and implement technical standards and best practices: coding guidelines, testing, CI/CD, and documentation. - Ensure system performance, reliability, and scalability, including optimization, load balancing, and resource management. - Collaborate with the CTO on architectural decisions: microservice design, API contracts, data schemas, and technology choices. - Work closely with the DevOps team to enhance CI/CD pipelines, monitoring, logging, and infrastructure reliability. - Maintain high engineering culture standards through structured code review and knowledge sharing. - Ensure strong test coverage (unit, integration, E2E) and promote a testing culture. - Participate in incident reviews (post-mortems, RCA) and help improve system resiliency. - Contribute to long-term architectural planning and technology roadmap. - Work with the Product Owner and System Analyst to analyze and decompose backlog items, evaluate technical complexity, and find optimal implementation approaches. - Organize teamwork: task distribution, prioritization, and progress control. - Participate in technical hiring and candidate evaluation. - Optionally, contribute to hands-on development, solving complex or high-impact technical challenges. 🔹Our ideal candidate will possess: - Dev. experience: 10+ years - At least 4-6+ years of commercial back-end development experience - Hands-on experience with at least one modern frontend framework: Angular (preferred), React, or Vue. - Excellent knowledge of Node.js and its ecosystem, strong understanding of architecture, scalability, and building reliable services. - Experience with Microservice architecture: capable of understanding and evolving existing systems. - Solid understanding of asynchronous communication between services: queues, message brokers, and event-driven patterns. - Strong grasp of performance, caching, and asynchronous processing, and how to design robust and scalable solutions. - Deep knowledge of PostgreSQL: schema design, query optimization, indexing, and transactions. - Strong understanding of OOP, SOLID principles, and design patterns. - Basic knowledge of Docker (containerization and local development). - Ability to write unit tests and maintain code quality. - Basic understanding of monitoring and logging systems (Prometheus, Grafana, Jaeger, Loki, or equivalents). - Fluent Russian and English at B1+ level are required 🔹Nice to have: - 1+ year of experience as a Tech Lead / Team Lead, or a strong desire to step into this role. - Experience with ClickHouse or MongoDB. - Knowledge of NATS or other message brokers (Kafka, RabbitMQ, etc.). - Experience with SaaS, CRM, or ERP systems. - Basic understanding of Linux, containerization, and deployment (docker-compose, kubectl). - Experience or knowledge in the affiliate / performance marketing domain. 🔹Benefits: - Fully remote job. - Competitive compensation package that reflects your skills and experience. - Enjoy a generous vacation package of 21 working days per year, with paid vacation available after just 3 months of continuous employment. - Take advantage of 7 paid sick leaves annually, no doctor's note required. - Additionally, you’ll receive 8 Flexible holidays per year. - An inclusive and adaptable company culture. - Team Buildings and Happy hours. 🔹Contact: @irev_irina

Senior Backend Developer в Web3 💰$5500 – $7200 на руки 📌Условия и бонусы: Фултайм, удаленно. 📌Наши ожидания: – опыт работы в backend-разработке от 4 лет; – уверенное владение как минимум двумя языками из стека: Go, Rust или Node.js; – практический опыт работы с Web3 библиотеками (ethers.js, viem, rust-web3) и понимание EVM; – опыт написания и тестирования смарт-контрактов на Solidity (будет преимуществом); – понимание принципов децентрализации и работы систем консенсуса. ✍🏼Откликнуться [Ссылка: https://t.me/DavidDavis076]

Machine Learning Engineer - Dispatch, Surge & Incentives #удаленка #lead #senior #700k Company: Rafeeq Salary: от 6 000 до 7 000$ 🔹The Role You will focus on three interconnected problems that are critical to our business: — Dispatch Optimization - Intelligent courier assignment, order batching, and routing — Surge Pricing - Dynamic pricing to balance supply and demand in real-time — Incentive Systems - Smart bonus zones and payments to position couriers where they're needed These systems directly impact courier earnings, customer wait times, and our marketplace efficiency. Your models will be making thousands of decisions per minute in production. 🔹What You'll Do Dispatch Optimization — Build ML models for optimal courier-to-order assignment considering distance, courier state, acceptance probability, and order characteristics — Implement order batching algorithms to allow couriers to deliver multiple orders efficiently — Research and prototype advanced techniques: Graph Neural Networks, combinatorial optimization — Optimize for multiple objectives: delivery time, courier earnings, customer satisfaction, platform efficiency Dynamic Pricing (Surge) — Design and deploy surge pricing models that respond to real-time supply-demand imbalances — Build demand forecasting models at geographic zone and hourly/sub-hourly granularity — Incorporate external factors: weather, events, seasonality, holidays — Run A/B experiments to optimize pricing strategies for both customer experience and marketplace balance Incentive Systems — Develop models to predict where courier supply will be needed 30-60 minutes in advance — Build intelligent bonus zone systems to proactively position couriers — Design incentive structures that maximize courier earnings while improving platform efficiency — Create attribution models to measure incentive effectiveness 🔹Core Responsibilities — Model Development: Research, prototype, and deploy ML models for dispatch, pricing, and incentives — Feature Engineering: Build real-time feature pipelines using geospatial, temporal, and marketplace data — Production Systems: Deploy models in high-throughput, low-latency environments (p99 < 100ms for dispatch) — Experimentation: Design and analyze A/B tests to measure impact on key metrics (ETA, courier earnings, order volume) — Collaboration: Work closely with Product, Engineering, and the ML team to ship features end-to-end — Monitoring: Build dashboards and alerts to track model performance and marketplace health 🔹What We're Looking For Required: — 5+ years of experience in ML/Data Science with at least 3+ years deploying models to production — Strong ML fundamentals: Regression, classification, time-series forecasting, optimization — Expert Python skills and deep experience with ML libraries (Scikit-learn, XGBoost) — Advanced SQL for complex feature engineering and data analysis — Production ML experience: Real-time inference, model serving, monitoring, A/B testing — Geospatial data experience: Working with lat/lon, distance calculations, zone-based aggregations — Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Operations Research, or related field Contact: @rafeeq_hr 🔥 Подписаться на наши каналы / @best_itjob / @it_rab [Ссылка: https://t.me/addlist/8QASR3uThEI2ZjVi]