Backend Engineer

Job not on LinkedIn

🕒 July 17

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Engenious

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Engenious is an IT consulting and services firm that helps organizations modernize and manage their technology landscapes. The company offers cloud solutions, artificial intelligence, cybersecurity, software development, DevOps, data & analytics, QA/testing, and technical documentation. Headquartered in Kraków, Poland with an office in Zug, Switzerland, Engenious focuses on delivering technical projects and consulting services to business clients.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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.)