DevOps Engineer W2

DevOps Engineer with Experience in Amazon Bedrock, AWS Lex and Amazon Connect

Location: REMOTE

ROLE : W2

Duration: 6+ Months Contract

Client: UHG

and GC

Video Interview

SUBMISSION REQUIREMENTS:

Need Genuine LinkedIn- NO RECENT OR MULTIPLE LINKEDIN

Must have full educational details with University Name and year of completion in resume.

WITHOUT ABOVE MENTIONED PREREQUISITE RESUME WILL BE DEEMED AS FAKE.

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.