Job
Description
Role Overview: As a Platform Engineer at our company, you will be responsible for designing, developing, and maintaining core platform components and APIs using the MERN stack. Your role will involve building user-friendly interfaces and web applications with a focus on usability, performance, and scalability. Additionally, you will collaborate with data scientists and ML engineers to design data pipelines and infrastructure for AI/ML workloads on AWS. Your expertise in full-stack development, Python, AWS services, and cloud architecture principles will be crucial in optimizing our platform for performance and cost-efficiency. Key Responsibilities: - Design, develop, and maintain core platform components and APIs using the MERN stack. - Build user-friendly interfaces and web applications with a focus on usability, performance, and scalability. - Optimize database queries with MongoDB for efficient data management. - Integrate front-end components (React) seamlessly with back-end services (Express/Node.js). - Implement robust testing and deployment strategies to ensure 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 (EC2, S3, SageMaker, etc.) optimized for AI/ML model training and deployment. - Develop and maintain 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 (Lambda, S3, ECS, API Gateway, SQS, SNS). - Automate infrastructure provisioning and management using tools like CloudFormation or CDK. - Implement serverless architectures, leveraging Lambda functions for flexible and cost-effective solutions. Qualifications Required: - Bachelor's degree in Computer Science, related technical field, or equivalent experience. - 2+ years of hands-on experience with full-stack development using the MERN stack. - Strong proficiency in Python, including experience with data analysis/ML libraries (e.g., scikit-learn, pandas, NumPy). - In-depth knowledge of AWS services (EC2, S3, Lambda, API Gateway, SQS, SNS, etc.) and cloud architecture principles. - Experience with containerization technologies (Docker, Kubernetes 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 other 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. Role Overview: As a Platform Engineer at our company, you will be responsible for designing, developing, and maintaining core platform components and APIs using the MERN stack. Your role will involve building user-friendly interfaces and web applications with a focus on usability, performance, and scalability. Additionally, you will collaborate with data scientists and ML engineers to design data pipelines and infrastructure for AI/ML workloads on AWS. Your expertise in full-stack development, Python, AWS services, and cloud architecture principles will be crucial in optimizing our platform for performance and cost-efficiency. Key Responsibilities: - Design, develop, and maintain core platform components and APIs using the MERN stack. - Build user-friendly interfaces and web applications with a focus on usability, performance, and scalability. - Optimize database queries with MongoDB for efficient data management. - Integrate front-end components (React) seamlessly with back-end services (Express/Node.js). - Implement robust testing and deployment strategies to ensure 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 (EC2, S3, SageMaker, etc.) optimized for AI/ML model training and deployment. - Develop and maintain 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 (Lambda, S3, ECS, API Gateway, SQS, SNS). - Automate infrastructure provisioning and management using tools like CloudFormation or CDK. - Implement serverless architectures, leveraging Lambda functions for flexible and cost-effective solutions. Qualifications Required: - Bachelor's degree in Computer Science, related technical field, or equivalent experience. - 2+ years of hands-on experience with full-stack development using the MERN stack. - Strong profic
