Description
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.
Good/Intermediate in Full stack (Backed + Frontend + Cloud)
Strong in Backend + Cloud + Ready to Learn Frontend in Short Time Without Hand Holding
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
- 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).
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 trends
(ref:hirist.tech)
