AWS Cloud DevOps Engineer

Compunnel

• $120K — $145K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong experience as an AWS Cloud Developer or Cloud DevOps Engineer.
  • Hands-on experience with AWS infrastructure provisioning and cloud security standards.
  • Proficient with AWS CDK and Terraform for IaC practices.
  • Experience with CloudFormation for infrastructure management.
  • Demonstrated ability to design and implement scalable AWS cloud infrastructure for AI/ML workloads.
  • Familiarity with Amazon SageMaker for managing AI model lifecycles.
  • Collaborative skills to work with data science and DevOps teams.

Responsibilities

  • Design and implement AWS cloud infrastructure tailored for AI/ML workloads.
  • Build and manage scalable AWS environments for various applications.
  • Configure Amazon SageMaker for training, deployment, and lifecycle management of models.
  • Automate infrastructure provisioning with IaC tools like AWS CDK and Terraform.
  • Maintain robust infrastructure using CloudFormation and similar tools.
  • Apply security and compliance standards throughout AWS infrastructure processes.
  • Partner with data science and DevOps teams to enhance performance and cost-effectiveness of AI/ML pipelines.

Benefits

  • Opportunities for professional growth and development.
  • Access to advanced cloud technologies and tools.
  • Collaborative work environment with cross-functional teams.
  • Flexible work arrangements.
  • Health and wellness benefits.
Full Job Description
Job Summary
The AWS Cloud DevOps Engineer will design, develop, and implement scalable cloud infrastructure solutions on AWS, with a focus on AI/ML workloads. The role requires a strong Cloud DevOps background and hands-on experience with infrastructure provisioning using Infrastructure as Code (IaC) tools such as AWS CDK, Terraform, and CloudFormation. The engineer will work closely with data science and DevOps teams to optimize the performance, cost, security, and scalability of cloud-based AI/ML environments.

Key Responsibilities
• Design, develop, and implement cloud infrastructure solutions on AWS with a focus on AI/ML workloads.
• Build and manage scalable AWS environments to support AI/ML applications and workloads.
• Configure and manage Amazon SageMaker environments for model training, deployment, and lifecycle management.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools.
• Develop and maintain infrastructure using AWS CDK, Terraform, and CloudFormation.
• Apply security and compliance standards across AWS infrastructure and provisioning processes.
• Collaborate with data science and DevOps teams to optimize AI/ML pipeline performance, cost, scalability, and reliability.
• Support cloud automation and DevOps practices across development, deployment, and operational workflows.

Required Qualifications
• Strong experience as an AWS Cloud Developer or Cloud DevOps Engineer.
• Strong hands-on experience with AWS infrastructure provisioning.
• Strong Cloud DevOps experience.
• Hands-on experience with AWS CDK and Terraform.
• Experience with Infrastructure as Code (IaC) practices and tools such as CloudFormation.
• Experience designing and implementing scalable AWS cloud infrastructure.
• Experience supporting AI/ML workloads in cloud environments.
• Experience with Amazon SageMaker for model training, deployment, and lifecycle management.
• Strong understanding of cloud security and compliance standards.
• Experience collaborating with data science and DevOps teams on cloud-based AI/ML solutions.

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