DevOps Engineer Exp across Amazon Bedrock, AWS Lex, and Amazon Connect (Remote)
Hi,
Hope all is well, Please revert me with an updated resume if you would like to apply for this role,
Title : DevOps Engineer Exp across Amazon Bedrock, AWS Lex, and Amazon Connect (Remote)
Duration : 6+ Months
Location : Remote
Job Description:
Top Skills Required:
• HandsOn Experience with Amazon Bedrock, AWS Lex, and Amazon Connect.
• Hands-on experience with deploy and manage AI/ML infrastructure and AI scaling in production environments.
• Solid background in DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform).
• Strong development experience (React, Python, Java).
• Design and enforce IAM policies, network security controls, logging, and monitoring across AWS environments.
• We are seeking a highly skilled Senior Associate DevOps Engineer with strong hands-on experience across AWS services—particularly Amazon Bedrock, AWS Lex, and Amazon Connect—and proven ability to deploy, scale, and manage AI/ML infrastructure in production environments. This role blends deep technical engineering capabilities with strong DevOps discipline. The ideal candidate brings a solid background in CI/CD, Infrastructure as Code, and cloud security, coupled with strong development experience in React, Python, and Java.
Your Impact
• As a Senior Associate DevOps Engineer, you will be responsible for enabling and scaling critical AI, ML, and cloud-native workloads. In this role, you will:
• Design, deploy, and manage AI/ML infrastructure using Amazon Bedrock, AWS Lex, and Amazon Connect, ensuring reliability, scalability, and cost efficiency.
• Implement and maintain CI/CD pipelines, automating build, test, and deployment processes to support rapid and high?quality releases.
• Architect and manage Infrastructure as Code (IaC) using Terraform to consistently provision and maintain AWS environments.
• Collaborate with engineering teams to support development workflows and integrate DevOps best practices into application lifecycles.
• Contribute directly to development efforts through hands?on coding in React, Python, and Java as needed to support integrations, tooling, or platform enhancements.
• Design and enforce AWS IAM policies, network security controls, and guardrails to maintain a secure and compliant cloud environment.
• Implement logging, monitoring, and observability frameworks to ensure system visibility, health insights, and rapid incident response.
• Scale AI/ML applications in production, ensuring high availability, performance optimization, and cost governance.
• Drive continuous improvement, identifying opportunities to increase automation, reduce operational overhead, and strengthen platform reliability.
Skills & Experience
• Hands-on experience with Amazon Bedrock, AWS Lex, and Amazon Connect, including configuration, integration, and operational support.
• Proven experience deploying and managing AI/ML infrastructure and scaling AI workloads in production environments.
• Strong background in DevOps practices, including CI/CD automation, containerization, and orchestration.
If you are interested, please share your updated resume and suggest the best number & time to connect with you
Thanks & Regards
US IT RECRUITER, DMS VISIONS INC
Ext-104 |
LinkedIn:
Apply tot his job
Apply To this Job
Hope all is well, Please revert me with an updated resume if you would like to apply for this role,
Title : DevOps Engineer Exp across Amazon Bedrock, AWS Lex, and Amazon Connect (Remote)
Duration : 6+ Months
Location : Remote
Job Description:
Top Skills Required:
• HandsOn Experience with Amazon Bedrock, AWS Lex, and Amazon Connect.
• Hands-on experience with deploy and manage AI/ML infrastructure and AI scaling in production environments.
• Solid background in DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform).
• Strong development experience (React, Python, Java).
• Design and enforce IAM policies, network security controls, logging, and monitoring across AWS environments.
• We are seeking a highly skilled Senior Associate DevOps Engineer with strong hands-on experience across AWS services—particularly Amazon Bedrock, AWS Lex, and Amazon Connect—and proven ability to deploy, scale, and manage AI/ML infrastructure in production environments. This role blends deep technical engineering capabilities with strong DevOps discipline. The ideal candidate brings a solid background in CI/CD, Infrastructure as Code, and cloud security, coupled with strong development experience in React, Python, and Java.
Your Impact
• As a Senior Associate DevOps Engineer, you will be responsible for enabling and scaling critical AI, ML, and cloud-native workloads. In this role, you will:
• Design, deploy, and manage AI/ML infrastructure using Amazon Bedrock, AWS Lex, and Amazon Connect, ensuring reliability, scalability, and cost efficiency.
• Implement and maintain CI/CD pipelines, automating build, test, and deployment processes to support rapid and high?quality releases.
• Architect and manage Infrastructure as Code (IaC) using Terraform to consistently provision and maintain AWS environments.
• Collaborate with engineering teams to support development workflows and integrate DevOps best practices into application lifecycles.
• Contribute directly to development efforts through hands?on coding in React, Python, and Java as needed to support integrations, tooling, or platform enhancements.
• Design and enforce AWS IAM policies, network security controls, and guardrails to maintain a secure and compliant cloud environment.
• Implement logging, monitoring, and observability frameworks to ensure system visibility, health insights, and rapid incident response.
• Scale AI/ML applications in production, ensuring high availability, performance optimization, and cost governance.
• Drive continuous improvement, identifying opportunities to increase automation, reduce operational overhead, and strengthen platform reliability.
Skills & Experience
• Hands-on experience with Amazon Bedrock, AWS Lex, and Amazon Connect, including configuration, integration, and operational support.
• Proven experience deploying and managing AI/ML infrastructure and scaling AI workloads in production environments.
• Strong background in DevOps practices, including CI/CD automation, containerization, and orchestration.
If you are interested, please share your updated resume and suggest the best number & time to connect with you
Thanks & Regards
US IT RECRUITER, DMS VISIONS INC
Ext-104 |
LinkedIn:
Apply tot his job
Apply To this Job