AWS Cloud Engineering

3 days ago

Coimbatore, Tamil Nadu, India MKS Vision Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Overview

We are seeking an experienced and highly skilled AWS Cloud Engineering Consultant to assist with the design and initial implementation for our in-product Chat AI services. The successful candidate must be an expert in Amazon ECS (Elastic Container Service), or alternatively, Kubernetes (EKS), with deep hands-on experience in AWS infrastructure and best practices.

Responsibilities

Design & Architecture: Lead the architectural design for deploying our AI services using Amazon ECS (or EKS, if deemed more suitable for the long-term strategy) with a focus on high availability, scalability, and cost-efficiency.

Implementation & Deployment: Hands-on implementation of the chosen container orchestration solution, including defining Task Definitions/Pods, Service Definitions, load balancing (ALB/NLB), networking, and security groups.

CI/CD Integration: Advise on or assist with integrating the container deployment into our existing Continuous Integration/Continuous Delivery (CI/CD) pipeline.

Infrastructure as Code (IaC): Ensure all deployed infrastructure is defined using Terraform or CloudFormation.

Monitoring & Logging: Configure basic monitoring, logging, and tracing for the deployed AI services using tools like CloudWatch, Prometheus, or the ELK stack.

Documentation: Create clear and concise documentation of the implemented architecture, deployment processes, and operational runbooks.

Required Experience & Skills

Deep AWS Expertise: Extensive hands-on experience with core AWS services, including VPC, EC2, IAM, S3, RDS, and networking.

Container Orchestration Mastery: Mandatory expert-level experience with Amazon ECS (Fargate and/or EC2). Significant experience with Kubernetes (EKS) is a highly valuable alternative.

AI/ML Deployment Experience (Preferred): Familiarity with deploying Python-based AI/ML services (e.g., using Flask, FastAPI, or similar web frameworks) is a plus.

Infrastructure as Code: Proven experience defining and managing infrastructure with Terraform or CloudFormation.

Networking: Strong understanding of container networking, service discovery, and load balancing.

CI/CD: Experience with CI/CD tools (e.g., GitLab, Jenkins, GitHub Actions) and container image management (ECR).

Security: Knowledge of security best practices in a containerized AWS environment.

Communication: Excellent verbal and written communication skills to clearly articulate technical designs and solutions.

Certifications: AWS Certified Solutions Architect or Relevant one.

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