Job Title : Platform Engineer (Full-Stack MERN & AWS Focus)

Department : Engineering

Reports To : Head of Engineering

Summary

We're seeking a skilled Platform Engineer with a passion for building and optimizing scalable web platforms as well as experience supporting AI/ML development. You'll have a strong foundation in full-stack MERN development (MongoDB, Express, React, Node.js), Python for AI/ML workflows, and a deep understanding of AWS services to provide a robust and performant platform for our products.

Responsibilities

Full-Stack Platform Development :

• 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.
  
  

AI/ML Support On AWS

• 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.
  
  

AWS Cloud Architecture & Services

• 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.
• 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 (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).
  
  

Preferred

• Experience building and managing CI/CD pipelines, preferably on AWS.
• Familiarity with Infrastructure as Code (IaC) tools like AWS CDK or CloudFormation.
  
  

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.
  
  

(ref:hirist.tech)