- Company Name
- Quantum World Technologies Inc.
- Job Title
- AWS Cloud Engineer with AI
- Job Description
-
Job Title: AWS Cloud Engineer with AI
Role Summary: Design, implement, and manage scalable, secure AWS cloud solutions that incorporate AI and data services. Leverage Lambda, ECS/Fargate, API Gateway, DynamoDB, and infrastructure-as-code to deliver end‑to‑end data pipelines, ETL processes, and AI model deployment.
Expectations: Deliver architected solutions with minimal supervision; translate business requirements into technical designs; enforce security and best‑practice standards; mentor junior engineers; maintain high quality code and automated testing.
Key Responsibilities:
- Design and architect scalable, secure AWS workloads for data, AI, and microservices.
- Deploy and manage Lambda functions, ECS/Fargate containers, API Gateway integrations, and DynamoDB tables.
- Build and maintain data pipelines using Redshift, EMR, S3, and traditional or cloud‑based ETL tools.
- Automate infrastructure provisioning and configuration using IaC tools (Terraform, CloudFormation, CDK).
- Write unit and integration tests for APIs, batch jobs, and AI workflows.
- Troubleshoot performance, deployment, and runtime issues across AWS services.
- Collaborate with cross‑functional teams to gather requirements and deliver solutions.
- Mentor junior team members and share technical knowledge.
- Ensure compliance with security best practices, IAM policies, and industry standards throughout the SDLC.
Required Skills:
- 7–8 years of AWS cloud engineering experience.
- Deep proficiency with AWS Lambda, ECS, Fargate, API Gateway, DynamoDB, Redshift, EMR, S3, and related services.
- Strong IaC skills (Terraform, CloudFormation, CDK).
- Expert in Node.js, JavaScript, and TypeScript development.
- Solid understanding of AWS security, IAM, and best‑practice policies.
- Excellent troubleshooting, debugging, and performance optimization skills.
- Experience in designing, building, and deploying AI/ML models in AWS (e.g., SageMaker, Rekognition) is desirable.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
- AWS Certified Solutions Architect – Associate or Professional (or equivalent) required.
- Additional certifications in Security, DevOps, or AI are a plus.