2 дня назад
System Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
System Architect (AI) (Java/Spring/LLM): Own backend architecture for a high-scale live-streaming platform, defining service boundaries, APIs, data ownership, and distributed-system patterns with an accent on reliability, performance, and AI integration. Focus on designing production LLM features, MCP and tool-calling systems, Kafka-based event flows, storage strategies, and architectural standards for engineering teams.
Location: Warsaw, Poland; on-site position with 4 days at the office and 1 day WFH
Company
is a live-streaming platform with more than 450 million registered users, enabling creators to engage with fans and monetize live content.
What you will do
- Own backend architecture, including service boundaries, data flows, communication patterns, and data ownership.
- Define standards for API design, versioning, integrations, project structure, testing, error handling, documentation, and architecture decisions.
- Design high-throughput, low-latency, and failure-tolerant systems while identifying bottlenecks, single points of failure, architectural risks, and technical debt.
- Choose storage technologies, design schemas, evaluate frameworks and third-party services, and establish caching and performance strategies.
- Design production LLM integrations, including agent and tool-calling patterns, MCP servers, context handling, evaluation, fallbacks, and AI-assisted development workflows.
- Collaborate with mobile, data, cloud, and product teams; review designs and mentor engineers.
Requirements
- 8–10+ years of backend engineering experience, including recent work in an architect role.
- Deep hands-on experience with Java, Spring Boot, and Spring Cloud.
- Strong knowledge of microservices, distributed systems, REST, gRPC, event-driven architecture, and asynchronous processing.
- Hands-on Kafka experience, including topic design, partitioning, consumer groups, and delivery guarantees; experience with SQL, NoSQL, Redis, and system tuning.
- Knowledge of application security, Docker, Kubernetes, CI/CD, monitoring, and logging.
- Daily use of AI coding agents and experience shipping LLM features to production, including prompt and context design, tool calling, MCP, streaming, cost, and latency control; Intermediate+ English required.
Nice to have
- Experience with high-scale consumer products, real-time systems, monolith decomposition, or large migrations.
- JVM performance tuning, profiling, and mobile–backend integration.
- Experience with LangGraph, LangChain, MCP servers, RAG, vector stores, embeddings, or LLM output evaluation.
Culture & Benefits
- Stock options from a Silicon Valley company.
- Competitive salary, medical insurance, and 75% insurance coverage for relatives.
- Four office days and one work-from-home day each week.
- Lunch budget, parking, and a Multisport card.
- Collaborative team environment and office-based social atmosphere.
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