← Xenia Tech
Senior Fullstack Engineer ReactJS, NodeJS, AI, NoSQL
Xenia Tech · Đà Nẵng
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Not Available, Đà Nẵng, Đà Nẵng
Tổng quan
- Build and deliver end-to-end features that support our recording and live-call experiences.
- Design, maintain, and evolve scalable services, APIs, and product architecture.
- Prototype ideas quickly, iterate based on feedback, and deliver meaningful product impact.
- Collaborate closely with Product, Design, Growth, and Engineering teams to continuously improve the user experience.
- Use data, monitoring, observability, and investigation tools to support technical and product decisions.
- Use AI tools and agents throughout the engineering lifecycle, including coding, architecture, debugging, troubleshooting, testing, documentation, technical investigation, and code review.
- Manage multiple AI-assisted tasks or agents in parallel by delegating effectively, preserving context, validating outputs, and integrating results into production-quality solutions.
- Make pragmatic engineering decisions that balance delivery speed with maintainability, scalability, performance, and reliability.
- Contribute to the continuous improvement of our engineering practices, internal tools, automation, and AI-assisted workflows.
- Your Skills and Experience
- Excellent English communication (equivalent to C1 or IELTS 7.0), collaboration, and teamwork skills.
- Core Tech Stack Proficiency: 8+ years of software development experience with deep expertise in TypeScript, React, Node.js/Nest.js, and RESTful APIs.
- Senior Backend Depth (Crucial): Comfortable in a 4–5/5 self-assessment on backend concepts to be competitive.
- Event-Driven Architecture & Databases: Deep expertise in NoSQL data modeling, message brokers (Kafka), and operating self-hosted MongoDB with replica sets and sharding.
- High-Concurrency & Real-Time Systems: Proven experience with WebSockets / at scale and horizontal scaling strategies.
- AI-Native Engineering Mastery:
- Able to orchestrate multiple AI agents and context-switch across concurrent tasks in daily development.
- Practical experience with agent memory / persistent-context tooling and structured onboarding docs (e.g., -style agent context files).
- Strong fluency using AI as a daily engineering multiplier — for coding, architecture, troubleshooting, investigation, test creation, documentation, and code review.
- Engineering Judgment: Degree in Computer Science or equivalent real-world experience, with a continuous improvement mindset and strong product/technical judgment.
- Distributed Team & Communication: Proven experience working in remote teams with excellent communication and teamwork in English.
- Experienced with WebSockets, WebRTC, MediaStream, and browser APIs for audio/video.
- Why You'll Love Working Here
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