Senior Full-Stack Engineer

Nexorlio is hiring a Senior Full-Stack Engineer to design, develop, and maintain production applications across frontend, backend, database, and cloud technologies. The role owns features from design through production, contributes to technical decisions, and collaborates with engineering, product, design, and client teams.

Responsibilities:

• Design, build, and maintain scalable web applications and backend services
• Develop modern frontend applications using React and TypeScript
• Build reliable backend services and REST APIs using Node.js, Python, or similar technologies
• Design and optimize relational databases, including PostgreSQL
• Contribute to system architecture, technical planning, and engineering decisions
• Integrate third-party APIs, cloud services, and external platforms
• Write clean, maintainable, and well-tested production code
• Review code, troubleshoot production issues, and improve application performance and security
• Contribute to CI/CD pipelines, cloud infrastructure, and deployment processes
• Collaborate with engineers, product managers, designers, and clients
• Mentor other engineers and help establish engineering best practices

Requirements:

• 8+ years of professional software engineering experience, including significant full-stack development experience
• Strong experience with React, TypeScript, and modern JavaScript
• Professional backend development experience with Python, Node.js, or comparable technologies
• Experience designing REST APIs and working with SQL databases such as PostgreSQL
• Strong understanding of software architecture, scalability, performance, and security
• Experience developing and maintaining production applications
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with Git, code reviews, automated testing, and modern development workflows
• Strong problem-solving skills and the ability to work independently
• Excellent written and verbal English communication skills
• Experience with Docker, CI/CD pipelines, and cloud-native development
• Experience with serverless architectures and infrastructure as code
• Experience integrating AI-powered features, LLM APIs, or AI-assisted workflows
• Familiarity with Retrieval-Augmented Generation (RAG), AI agents, or prompt engineering
• Experience developing SaaS platforms or enterprise applications
• Experience mentoring engineers or working directly with clients