Lead Engineer (Engineering Lead)

Company Overview

Company details have not been specified.

Job Summary

We are seeking a Lead Engineer (Engineering Lead) to oversee our backend, data engineering, and infrastructure initiatives. This role is crucial for building scalable data pipelines, backend services, and cloud infrastructure for our AI-driven platform. You will lead the engineering team and assist the founders in cultivating a high-performance engineering culture that emphasizes best coding practices, documentation, and DevOps workflows.

Responsibilities

• Tech Leadership & Strategy:

  • Lead backend, data engineering, and infrastructure efforts to ensure scalability and reliability.
  • Drive the implementation of microservices architecture and serverless solutions on AWS.
  • Collaborate with AI engineers to efficiently integrate LLM-powered features.

• Backend & Data Engineering:

  • Architect and develop high-performance APIs using Django and NodeJS.
  • Build scalable ETL (Extract, Transform, Load) pipelines for university and course data collection, cleaning, and updating.
  • Manage structured and unstructured data using RDS, DynamoDB, and MongoDB.

• Cloud & DevOps:

  • Implement CI/CD (Continuous Integration/Continuous Deployment) pipelines, along with containerization technologies like Docker and Kubernetes.
  • Configure and manage AWS infrastructure components such as Lambda, API Gateway, ALB (Application Load Balancer), and Amplify.
  • Ensure the 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 that emphasizes best coding practices, documentation, and effective DevOps workflows.

Qualifications

• Experience: 2-4 years in backend development, data engineering, and cloud infrastructures.

• Technical Skills:

  • Proficiency in Python (Django) and Node.js (Nest.js) for backend development.
  • Strong experience with AWS services (Lambda, API Gateway, RDS, DynamoDB, CI/CD, Microservices, DevOps).
  • Experience in building ETL pipelines and managing large datasets for AI-powered applications.
  • Familiarity with infrastructure as code (Terraform, AWS CDK) and containerization (Docker/Kubernetes) is preferred.

• Soft Skills:

  • Ability to thrive in a fast-paced startup environment.
  • Competency in making key architectural decisions.
  • Experience working with AI/ML teams, particularly in Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) fine-tuning workflows, is a plus.

Preferred Skills

• Hands-on knowledge of infrastructure as code practices.
• Experience with advanced AI tools and frameworks.

Experience

• 2-4 years of relevant experience in backend development, data engineering, and cloud infrastructures.

Environment

The specific work setting (remote, in-office, hybrid) has not been specified.

Salary

Details regarding salary have not been provided.

Growth Opportunities

This role offers the potential to be part of an AI-powered EdTech revolution and the opportunity to help enhance global education access through technology. It also includes a leadership position in a high-growth startup.

Benefits

Competitive compensation packages including Employee Stock Ownership Plans (ESOPs) have been mentioned. Details on additional benefits have not been provided.