Mid-Level Full Stack Developer (with AI/DevOps experience)

We are seeking a skilled Mid-Level Full Stack Developer with a strong background in AI and DevOps to join our innovative team. In this role, you will contribute to the development and deployment of cutting‑edge applications while leveraging AI technologies and implementing DevOps best practices.

Responsibilities

• Develop and maintain full-stack applications using React.js, Node.js, and TypeScript
• Collaborate with cross-functional teams to design and implement scalable and efficient solutions
• Integrate AI technologies and libraries into application development, such as machine learning models and natural language processing
• Utilize AI‑augmented coding tools like Copilot to enhance development productivity
• Implement and optimize database schemas and queries using Supabase and PostgreSQL
• Design and develop RESTful APIs and integrate with external services
• Implement secure authentication and authorization mechanisms using Supabase Auth
• Create and maintain CI/CD pipelines using GitHub Actions or similar tools
• Automate infrastructure provisioning and management using AWS services and infrastructure‑as‑code tools like Terraform or AWS CDK
• Monitor application performance, identify bottlenecks, and optimize for scalability and efficiency
• Implement logging, monitoring, and alerting solutions using AWS services like CloudWatch and AI‑assisted log analysis
• Collaborate with the testing team to ensure comprehensive test coverage and maintain high code quality standards
• Participate in code reviews, provide constructive feedback, and mentor junior developers
• Stay up-to-date with the latest trends and best practices in full-stack development, AI, and DevOps

Requirements

• 3+ years of experience in full-stack development using React.js, Node.js, and TypeScript
• Familiarity with AI technologies, libraries, and frameworks, such as TensorFlow, PyTorch, or scikit-learn
• Experience with integrating AI models into application development
• Strong understanding of DevOps principles and practices
• Proficiency in using AWS services, including EC2, Lambda, API Gateway, S3, and CloudFront
• Experience with infrastructure-as-code tools like Terraform or AWS CDK
• Knowledge of databases, particularly PostgreSQL and Supabase
• Familiarity with CI/CD pipelines and tools like GitHub Actions
• Understanding of secure coding practices and OWASP Top 10 vulnerabilities
• Experience with monitoring, logging, and alerting solutions
• Strong problem-solving skills and ability to debug complex issues
• Excellent communication and collaboration skills
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Preferred Qualifications

• Experience with serverless architectures and event-driven systems
• Knowledge of containerization technologies like Docker and Kubernetes
• Familiarity with machine learning frameworks like TensorFlow or PyTorch
• Experience with natural language processing (NLP) techniques and libraries
• Contribution to open-source projects or personal projects demonstrating full-stack and AI skills

If you are passionate about building innovative applications that leverage the power of AI and DevOps, we would love to hear from you. This role provides an excellent opportunity to work with cutting‑edge technologies and collaborate with a talented team to deliver high-quality software solutions.