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ТРТ ищет сильного старшего PHP-инженера (Laravel) для работы над высокопроизводительной logistics-платформой с реальным временем доставки, диспетчеризацией и маршрутизацией водителей. Требуется опыт работы с AI-инструментами в повседневной разработке, WebSockets, очередями сообщений и масштабируемыми API.
Кандидат должен продемонстрировать компетентность в проектировании распределённых систем, CAP-теоремах, тестировании и CI/CD.
Our client is building a high-performance logistics platform for real-time order dispatch, driver routing, and delivery tracking. We’re looking for a Strong Senior PHP Engineer (Laravel) to help push performance boundaries and design distributed systems that run 24/7.
AI-first development is required. Candidates must actively use AI agents to generate and develop code as part of their daily workflow. 5+ years of professional PHP development (PHP 7/8.1+). 3+ years of Laravel experience in production environments. Production experience with real-time systems (WebSockets, Server-Sent Events, or long polling). Production experience with message queues (RabbitMQ/Kafka/SQS) for handling order dispatch pipelines. Production experience with Redis for caching and real-time data. Production experience with MySQL optimized for high read/write volumes. RESTful API design for APIs handling 1000+ RPS, with proper rate limiting and fault tolerance. Unit, integration, and feature tests are standard (80%+ coverage expected). Ability to architect distributed systems and explain CAP theorem trade-offs. OOP/SOLID principles: maintainable code that scales with team growth. Git workflows: PR reviews, branching strategies, CI/CD pipelines. Proficiency with modern AI coding tools (Cursor, GitHub Copilot, Claude/ChatGPT/Gemini) for productivity and rapid prototyping. Delivered at least 2 production systems handling time-sensitive operations. Performance optimization on real traffic (database indexing, query optimization, caching). Handled systems processing 5K+ transactions/hour. Experience with concurrent operations—race conditions, locking, idempotency. Production debugging: troubleshooting live issues using logs, APM tools, and metrics. Participated in code reviews, giving and receiving constructive feedback. Explain technical trade-offs clearly to teammates and product managers. Ship working solutions and iterate based on real data. Take responsibility for your services (code, tests, monitoring). Work within the backend team and partner with mobile/ops/data/frontend teams. Debug production issues methodically under pressure.
Kubernetes (deployments, pods, services, ingress), Google Cloud Platform, AWS (ECS, Lambda, SQS, DynamoDB, RDS), container orchestration (Docker Compose, Docker Swarm, Cloud-Managed Services); Real-time communication (WebSockets, Server-Sent Events, long polling), event-driven systems (event sourcing, CQRS patterns), async PHP (Roadrunner, Swoole, ReactPHP, or similar concurrent processing); PostGIS queries, proximity searches, spatial indexing; Google Maps, Mapbox, HERE, TomTom; Strong experience integrating third-party services, payment gateways, and external data providers; Elasticsearch for indexing, full-text search, and log/metrics analysis; FinTech (payment processing, ledger systems, financial reconciliation), on-demand marketplaces (ride-sharing, food delivery, courier); Python, Node.js, or Go experience; Open source contributions in any domain