About Us :
Ambitio's AI platform is dedicated to assisting individuals in their complete study abroad journey, from program selection to crafting applications and achieving dream admits. With Ambitio, users can streamline the application process by creating and managing applications directly from their dashboard with timeline trackers, eliminating the need for multiple tools. The platform is completely free to use, providing a seamless and efficient experience for applicants.
Role Description
We are looking for a Lead Engineer (Engineering Lead) to lead our backend, data engineering, and infrastructure efforts. You’ll be responsible for building scalable data pipelines, backend services, and cloud infrastructure to power our AI-driven platform. Leading the entire engineering team. Help founders foster a high-performance engineering culture with best coding practices, documentation, and DevOps workflows.
Key Responsibilities
Tech Leadership & Strategy :
- Lead backend, data engineering, and infrastructure efforts, ensuring scalability and reliability.
- Drive microservices architecture and serverless implementations on AWS.
- Collaborate with AI engineers to integrate LLM-powered features efficiently.
Backend & Data Engineering :
Architect and develop high-performance APIs using Django & NodeJS.Build scalable ETL pipelines to collect, clean, and update university and course data.Work with RDS, DynamoDB, and MongoDB for structured and unstructured data management.Cloud & DevOps :
Implement CI / CD pipelines, containerization (Docker, Kubernetes), and AWS infrastructure (Lambda, API Gateway, ALB, Amplify etc.).Ensure scalability, security, and cost efficiency of cloud infrastructure.Automate deployments and optimize system performance.Team Leadership & Growth :
Lead and mentor backend and DevOps engineers.Foster a high-performance engineering culture with best coding practices, documentation, and DevOps workflows.What makes you a great fit?
5-8+ years of experience in backend development, data engineering, and cloud infrastructures.Ability to work in a fast-paced startup environment and make key architectural decisions.Expertise in Python (Django) and Node.js (Nest.js) for backend development.Strong experience with AWS (Lambda, API Gateway, RDS, DynamoDB, CI / CD, Microservices, DevOps).Experience building ETL pipelines and managing large datasets for AI-powered applications.Hands-on knowledge of infrastructure as code (Terraform, AWS CDK) and containerization (Docker / Kubernetes) is preferred.Experience working with AI / ML teams, particularly in RAG and LLM fine-tuning workflows, is a plus.Tech Stack : Python - Django, Node.js - Nest.js, RDS, DynamoDB, MongoDB, AWS -Lambda, API Gateway, Amplify, CI / CD, Microservices, DevOps, Vector Databases, LLM