Backend Engineer

Vaga não está no LinkedIn

🕒 Julho 17

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🔙 Engenheiro Backend

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Engenious

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2015

💼 Consultoria

📦 Logística

📣 Marketing

Consulting • Logistics • Marketing

A Engenious é uma empresa de consultoria e serviços de TI que ajuda organizações a modernizar e gerenciar seus ambientes tecnológicos. A empresa oferece soluções em nuvem, inteligência artificial, cibersegurança, desenvolvimento de software, DevOps, dados & análises, QA/testes e documentação técnica. Com sede em Cracóvia, na Polônia, e um escritório em Zug, na Suíça, a Engenious foca na entrega de projetos técnicos e serviços de consultoria para clientes empresariais.

Descrição

• Build and ship end-to-end features across the high-load backend services • Design scalable APIs and services • Build and integrate AI-powered features into product workflows • Work with LLM-based systems and AI-driven services • Improve performance, reliability, and system architecture • Collaborate with product, design, and AI teams (both Engenious and client-side) • Contribute to technical decisions and engineering standards • Mentor engineers and support team growth

🎯 Requisitos

• 5+ years of experience in backend development • Strong experience with Java and Spring Boot is a must • Knowledge of system scaling, REST APIs, GraphQL, microservices, and message brokers (Kafka, RabbitMQ) • Experience with Python • Strong fundamentals in algorithms and system design • Experience building or integrating AI-powered features (LLMs, APIs, or similar) • Experience building and scaling production systems • Experience debugging complex systems • Strong product mindset and attention to user experience • Hands-on experience designing and operating WebSocket-based real-time systems at scale • Experience working within cross-team collaboration responsible for high-load production systems, including services serving 100,000+ users or operating at significant request-per-second scale • Must be legally authorized to work in the United States at the time of hire; we are unable to provide visa sponsorship for this role • Nice to Have: Experience working with LLMs or AI frameworks (OpenAI, Antropic), LangChain, Langraph, etc. • Background in high-scale applications • Experience mentoring or leading engineers

🏖️ Benefícios

• Comprehensive health benefits (medical, dental, vision, mental health) • Paid time off and holidays • Parental leave • 401(k) / retirement options (if applicable) • Professional development support • Additional stipends (wellness, home office, etc.)