DevOps Engineer Exp across Amazon Bedrock, AWS Lex, and Amazon Connect (Remote)

Title

DevOps Engineer Exp across Amazon Bedrock, AWS Lex, and Amazon Connect (Remote)

Duration

6+ Months

Location

Remote

Job Description

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.

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.

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.

Application Instructions

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
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