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AWS Administrator

LogFix SCM Solutions Pvt Ltd

2 - 5 years

Chennai

Posted: 31/01/2026

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Job Description

Job Description: AWS API Developer

Experience

  • 57 Years

Location

  • Chennai / Gurgaon (Hybrid)

Notice Period

  • Immediate to 15 Days

Role Overview

We are seeking an experienced AWS API Developer with strong expertise in Python-based API development, DevOps automation, and AWS ML services . The role involves designing scalable ML engineering solutions, deploying models into production, building data pipelines, and managing containerized workloads in cloud and multi-cloud environments.

Mandatory Technical Skills

(Must be demonstrated clearly in project experience, not only listed as skills)

  • DevOps practices and automation
  • RESTful API development
  • Python programming
  • FastAPI
  • Flask
  • AWS Services:
  • SageMaker
  • S3
  • Glue
  • Kinesis
  • ECS
  • EKS

Technology Stack (Mandatory)

  • Python
  • FastAPI & Flask
  • API Development
  • AWS Services (SageMaker, S3, Glue, Kinesis, ECS, EKS)
  • DevOps & Automation
  • Kubernetes
  • CI/CD Pipelines
  • Infrastructure as Code (IaC)

Key Responsibilities

  • Design and implement scalable ML engineering solutions with an automation-first approach
  • Deploy, monitor, and maintain machine learning models in production environments
  • Build, optimize, and maintain ETL / ELT data pipelines
  • Develop and maintain RESTful APIs using FastAPI and Flask for ML model integration
  • Work extensively with AWS services , including SageMaker, Glue, Kinesis, ECS/EKS, and S3
  • Manage containerized applications and orchestration using Kubernetes in multi-cloud environments
  • Implement and maintain CI/CD pipelines using Azure DevOps and AWS DevOps tools
  • Apply Infrastructure as Code (IaC) and configuration management best practices
  • Collaborate with IT teams and business stakeholders to ensure timely and successful delivery

Preferred Qualifications

  • Experience with Docker and Kubernetes-based deployments
  • Hands-on experience with ML model lifecycle management
  • Strong understanding of cloud security, monitoring, and performance optimization
  • Excellent communication and cross-team collaboration skills.


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