Black Rock Solutions INC
AWS Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Engineer with AI expertise, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include 6–10 years of AWS experience, AI/ML integration, and proficiency in Terraform or CloudFormation.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
464
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🗓️ - Date
November 25, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Miami, FL
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🧠 - Skills detailed
#Monitoring #Automation #API (Application Programming Interface) #EC2 #Logging #Cloud #Data Science #AWS (Amazon Web Services) #Security #IAM (Identity and Access Management) #SageMaker #DynamoDB #Terraform #ML (Machine Learning) #AI (Artificial Intelligence) #Python #VPC (Virtual Private Cloud) #GIT #Compliance #Scala #Infrastructure as Code (IaC) #Lambda (AWS Lambda) #RDS (Amazon Relational Database Service) #DevOps #S3 (Amazon Simple Storage Service)
Role description
Job Description
We are seeking a highly skilled AWS Engineer with AI expertise to join our client’s engineering team. The ideal candidate will have strong hands-on experience in designing, deploying, and optimizing cloud-native solutions on AWS, along with the ability to integrate AI/ML capabilities into scalable architectures.
Key Responsibilities
• Design, build, and maintain AWS cloud infrastructure using best practices for scalability, security, and performance.
• Implement and optimize AI/ML solutions using AWS-native services (SageMaker, Bedrock, Lambda, Step Functions, ECS/EKS).
• Develop automation scripts for CI/CD, Infrastructure as Code (IaC), and cloud operations using Terraform/CloudFormation.
• Collaborate with data science and engineering teams to operationalize and deploy AI/ML models.
• Monitor cloud environments and drive performance tuning, cost optimization, and system reliability improvements.
• Ensure compliance with security and governance standards across AWS environments.
• Troubleshoot cloud and AI workload issues and provide root cause analysis.
Required Skills & Experience
• 6–10 years of experience as an AWS Engineer or Cloud Engineer.
• Strong hands-on expertise with core AWS services: EC2, S3, VPC, IAM, Lambda, EKS/ECS, API Gateway, RDS/ DynamoDB, etc.
• Practical experience deploying or integrating AI/ML solutions using AWS services.
• Experience with Python or Node.js for backend and AI/ML automation.
• Solid understanding of DevOps, CI/CD pipelines, Git, monitoring, and logging frameworks.
• Strong knowledge of security best practices, identity management, and networking concepts in AWS.
• Experience with Terraform or CloudFormation for IaC.
• Excellent problem-solving skills and ability to work in fast-paced environments.
Good to Have
• AWS Certifications (Solutions Architect, Machine Learning, DevOps Engineer).
• Experience with generative AI or LLM-based workloads.
• Experience working in telecom or large enterprise environments (Verizon experience a plus).
Skills: artificial intelligence,devops,ml,security,cloud,aws
Job Description
We are seeking a highly skilled AWS Engineer with AI expertise to join our client’s engineering team. The ideal candidate will have strong hands-on experience in designing, deploying, and optimizing cloud-native solutions on AWS, along with the ability to integrate AI/ML capabilities into scalable architectures.
Key Responsibilities
• Design, build, and maintain AWS cloud infrastructure using best practices for scalability, security, and performance.
• Implement and optimize AI/ML solutions using AWS-native services (SageMaker, Bedrock, Lambda, Step Functions, ECS/EKS).
• Develop automation scripts for CI/CD, Infrastructure as Code (IaC), and cloud operations using Terraform/CloudFormation.
• Collaborate with data science and engineering teams to operationalize and deploy AI/ML models.
• Monitor cloud environments and drive performance tuning, cost optimization, and system reliability improvements.
• Ensure compliance with security and governance standards across AWS environments.
• Troubleshoot cloud and AI workload issues and provide root cause analysis.
Required Skills & Experience
• 6–10 years of experience as an AWS Engineer or Cloud Engineer.
• Strong hands-on expertise with core AWS services: EC2, S3, VPC, IAM, Lambda, EKS/ECS, API Gateway, RDS/ DynamoDB, etc.
• Practical experience deploying or integrating AI/ML solutions using AWS services.
• Experience with Python or Node.js for backend and AI/ML automation.
• Solid understanding of DevOps, CI/CD pipelines, Git, monitoring, and logging frameworks.
• Strong knowledge of security best practices, identity management, and networking concepts in AWS.
• Experience with Terraform or CloudFormation for IaC.
• Excellent problem-solving skills and ability to work in fast-paced environments.
Good to Have
• AWS Certifications (Solutions Architect, Machine Learning, DevOps Engineer).
• Experience with generative AI or LLM-based workloads.
• Experience working in telecom or large enterprise environments (Verizon experience a plus).
Skills: artificial intelligence,devops,ml,security,cloud,aws
