5-7 years of experience as a Full Stack Engineer with a focus on cloud-native applications.
Proficient in React, TypeScript, Next.js, Java, Spring Boot, and Node.js.
Hands-on experience with REST APIs, microservices, and responsive user interfaces.
Solid understanding of SQL and NoSQL databases like PostgreSQL and MongoDB.
Familiarity with AWS services, Docker, CI/CD pipelines, and Infrastructure as Code, especially Terraform.
Daily use of AI development tools such as GitHub Copilot and similar tools.
Experience in EdTech or AI-powered products is a plus.
Responsibilities
Develop and maintain both frontend and backend platform capabilities.
Build secure and scalable cloud-native applications.
Participate in architecture discussions and design reviews.
Utilize AI-native development practices to enhance productivity and quality.
Create automated test coverage and maintain technical documentation.
Collaborate with cross-functional teams including product and security.
Support integration with enterprise systems and services.
Benefits
Flexible work environment with remote options.
Opportunities for professional development and training.
Access to cutting-edge AI tools and technologies.
Collaborative team culture focused on innovation.
Health and wellness benefits.
Full Job Description
Position overview
We are looking for an AI-Native Full Stack Engineer to support the development and evolution of the client's ecosystem. In this role, you will design, develop, test, and deliver cloud-native applications while using AI-assisted engineering practices throughout the software development lifecycle. The ideal candidate is a strong full-stack engineer who uses AI tools and automation as part of their daily workflow and can contribute across frontend, backend, cloud, integration, and DevOps activities. The estimated salary range for this position is USD 150,000 to 180,000 per year.
Responsibilities
Develop and maintain frontend and backend platform capabilities
Build secure, scalable, cloud-native applications
Participate in architecture discussions, design reviews, code reviews, and production support
Use AI-native development practices to improve productivity, delivery speed, and quality
Create automated test coverage and technical documentation
Collaborate with product, architecture, security, and platform teams
Support integration with enterprise systems and services
Contribute to monitoring, troubleshooting, and the continuous improvement of engineering practices
Requirements
Strong experience as a Full Stack Engineer building cloud-native applications with React, TypeScript, Next.js, Java, Spring Boot, and Node.js.
Hands-on experience designing and developing REST APIs, microservices, and responsive, accessible user interfaces.
Solid knowledge of SQL and NoSQL databases, such as PostgreSQL and MongoDB.
Experience with AWS services, Docker, CI/CD pipelines, GitHub Actions, and Infrastructure as Code, preferably with Terraform.
Strong understanding of OAuth/OIDC, JWT authentication, secure coding practices, API integrations, and enterprise integration patterns.
Daily use of AI development tools such as GitHub Copilot, Cursor, Claude Code, or equivalent tools as part of the software delivery workflow.
Experience with AI-assisted coding, testing, debugging, documentation, and prompt engineering.
Experience in LMS, EdTech, AI-powered products, skills assessment platforms, simulation-based learning, or enterprise SaaS solutions is a plus.
About DataArt
DataArt is a global technology consultancy that designs, develops, and supports unique software solutions, helping clients take their businesses forward. The company offers a wide range of services, including custom software development, technology consulting, and software testing and quality assurance. DataArt serves clients in a variety of industries, including finance, healthcare, and travel and hospitality.
