Full Stack Developer - MERN Stack

As a Platform Engineer at our company, your role will involve building and optimizing scalable web platforms and supporting AI/ML development. You should have a strong foundation in full-stack MERN development, Python for AI/ML workflows, and a deep understanding of AWS services to provide robust and performant platforms for our products. Key Responsibilities: - Design, develop, and maintain core platform components and APIs using the MERN stack. - Build user-friendly interfaces and web applications focusing on usability, performance, and scalability. - Optimize database queries using MongoDB for efficient data management. - Seamlessly integrate front-end components (React) with back-end services (Express/Node.js). - Implement robust testing and deployment strategies for quality code releases. - Collaborate with data scientists and ML engineers to design data pipelines and infrastructure for AI/ML workloads. - Provision and configure AWS services optimized for AI/ML model training and deployment. - Develop scalable Python environments for machine learning development and execution. - Troubleshoot and optimize AI/ML workflows on AWS for performance and cost-efficiency. - Design and implement secure and scalable cloud infrastructure using AWS services. - Automate infrastructure provisioning and management using tools like CloudFormation or CDK. - Implement serverless architectures leveraging Lambda functions for flexible and cost-effective solutions. Qualifications: - Bachelor's degree in Computer Science, related technical field, or equivalent experience. - 3+ years of hands-on experience with full-stack development using the MERN stack. - Strong proficiency in Python, including experience with data analysis/ML libraries. - In-depth knowledge of AWS services and cloud architecture principles. - Experience with containerization technologies is a plus. Key Skills: - Problem-solving: Excellent analytical skills for tackling complex architectural and development challenges. - Communication: Clearly articulate technical concepts to both engineering and non-technical stakeholders. - Collaboration: Work effectively with development teams, data scientists, and stakeholders. - Adaptability: Embrace change and thrive in a dynamic, fast-paced environment. - Passion for Technology: Strong desire to stay up-to-date on emerging cloud technologies, development frameworks, and AI/ML trends. As a Platform Engineer at our company, your role will involve building and optimizing scalable web platforms and supporting AI/ML development. You should have a strong foundation in full-stack MERN development, Python for AI/ML workflows, and a deep understanding of AWS services to provide robust and performant platforms for our products. Key Responsibilities: - Design, develop, and maintain core platform components and APIs using the MERN stack. - Build user-friendly interfaces and web applications focusing on usability, performance, and scalability. - Optimize database queries using MongoDB for efficient data management. - Seamlessly integrate front-end components (React) with back-end services (Express/Node.js). - Implement robust testing and deployment strategies for quality code releases. - Collaborate with data scientists and ML engineers to design data pipelines and infrastructure for AI/ML workloads. - Provision and configure AWS services optimized for AI/ML model training and deployment. - Develop scalable Python environments for machine learning development and execution. - Troubleshoot and optimize AI/ML workflows on AWS for performance and cost-efficiency. - Design and implement secure and scalable cloud infrastructure using AWS services. - Automate infrastructure provisioning and management using tools like CloudFormation or CDK. - Implement serverless architectures leveraging Lambda functions for flexible and cost-effective solutions. Qualifications: - Bachelor's degree in Computer Science, related technical field, or equivalent experience. - 3+ years of hands-on experience with full-stack development using the MERN stack. - Strong proficiency in Python, including experience with data analysis/ML libraries. - In-depth knowledge of AWS services and cloud architecture principles. - Experience with containerization technologies is a plus. Key Skills: - Problem-solving: Excellent analytical skills for tackling complex architectural and development challenges. - Communication: Clearly articulate technical concepts to both engineering and non-technical stakeholders. - Collaboration: Work effectively with development teams, data scientists, and stakeholders. - Adaptability: Embrace change and thrive in a dynamic, fast-paced environment. - Passion for Technology: Strong desire to stay up-to-date on emerging cloud technologies, development frameworks, and AI/ML trends.