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Cloud Architect and Engineering Manager

1 week ago

Bengaluru, Karnataka, India Awign Expert Full time
Overview

Awign Expert is a leading provider of AI-driven solutions, empowering businesses to unlock their full potential. As our Cloud Architect and Engineering Manager, you will be at the forefront of driving innovation and excellence in our engineering team.

Job Description

We are seeking an experienced Cloud Architect and Engineering Manager to lead our backend, data engineering, and infrastructure efforts. This role involves designing and implementing scalable data pipelines, backend services, and cloud infrastructure to power our AI-driven platform. The successful candidate will also lead our engineering team, fostering a high-performance culture with best coding practices, documentation, and DevOps workflows.

Key Responsibilities:
  1. Lead backend, data engineering, and infrastructure efforts, ensuring scalability and reliability.
  2. Drive microservices architecture and serverless implementations on AWS.
  3. Collaborate with AI engineers to integrate LLM-powered features efficiently.
Backend & Data Engineering:
  1. Architect and develop high-performance APIs using Django & NodeJS.
  2. Build scalable ETL pipelines to collect, clean, and update university and course data.
  3. Work with RDS, DynamoDB, and MongoDB for structured and unstructured data management.
Cloud & DevOps:
  1. Implement CI/CD pipelines, containerization (Docker, Kubernetes), and AWS infrastructure (Lambda, API Gateway, ALB, Amplify, etc.).
  2. Ensure scalability, security, and cost efficiency of cloud infrastructure.
  3. Automate deployments and optimize system performance.
Team Leadership & Growth:
  1. Lead and mentor backend and DevOps engineers.
  2. Foster a high-performance engineering culture with best coding practices, documentation, and DevOps workflows.
Required Skills:
  1. Tech Stack: Python - Django, Node.js - Nest.js, RDS, DynamoDB, MongoDB, AWS - Lambda, API Gateway, Amplify, CI/CD, Microservices, DevOps, Vector Databases, LLM
What makes you a great fit:
  1. 5-8 years of experience in backend development, data engineering, and cloud infrastructures.
  2. Ability to work in a fast-paced startup environment and make key architectural decisions.
  3. Expertise in Python (Django) and Node.js (Nest.js) for backend development.
  4. Strong experience with AWS (Lambda, API Gateway, RDS, DynamoDB, CI/CD, Microservices, DevOps).
  5. Experience building ETL pipelines and managing large datasets for AI-powered applications.
  6. Hands-on knowledge of infrastructure as code (Terraform, AWS CDK) and containerization (Docker/Kubernetes) is preferred.
  7. Experience working with AI/ML teams, particularly in RAG and LLM fine-tuning workflows, is a plus.