Senior Python Full Stack Engineer (React)

N-iX is looking for a Python Full-Stack Engineer (React) to join a collaborative product team of around 8 engineers working on a complex, high-impact software platform.

You’ll contribute across the stack, building scalable backend services and intuitive frontend experiences, while actively using AI-powered development tools to improve productivity and code quality. The team follows Agile best practices, values clean architecture, ownership, and continuous improvement.

As a full-stack engineer, you’ll help to develop the platform that serves as an enterprise next-generation endpoint protection (EPP) + endpoint detection & response (EDR) solution that runs on Windows (as well as macOS, Linux, servers, etc.). It comes as a single, unified agent designed to prevent, detect, respond, and remediate cyber threats, including malware, ransomware, fileless attacks, and advanced persistent threats — all in real time.

Responsibilities:

• Design, develop, and maintain backend services in Python
• Build and evolve frontend applications using React
• Collaborate closely with backend, frontend, and QA engineers in an Agile/Scrum environment
• Participate in sprint planning, reviews, retrospectives, and daily stand-ups
• Write clean, testable, and well-documented code
• Integrate and work with APIs, data stores, and third-party services
• Use AI-assisted development tools (e.g., code assistants, testing tools, analysis tools) to improve delivery speed and quality
• Contribute to architectural discussions and technical decisions
• Support production systems and participate in troubleshooting when needed

Requirements:

• 7+ years of commercial experience with Python (backend development)
• Solid experience with React and modern frontend development
• Experience building full-stack applications end-to-end
• Good understanding of RESTful APIs and client-server architecture
• Familiarity with Agile development methodologies
• Experience working in a team environment with shared ownership
• Comfortable using AI tools in daily development (e.g., coding assistants, test generation, debugging, documentation support)