Senior Full Stack Developer

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:Familiarity with Infrastructure as Code (IaC) tools like AWS CDK or CloudFormation.

Experience building and managing CI/CD pipelines, preferably on AWS.

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