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

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

Client: UHG

Job type: Remote

Rate: 50-55/hr on W2

Visa: USC,GC

Duration: End Date : 6-months from start date

Interview Process: 1-2 internal video interviews & 1 internal

Note: ONLY W2 ( NO C2C). There are total of 3 positions open, one has gone to an offer and 2 more remaining. This is a remote role but looking for candidates who are local or in/around one locations at San Francisco, CA or Arlington, VA or Westminster, CO or Chicago, IL or Boston, MA or Birmingham, MI or Houston, TX or Atlanta, GA or Miami, FL or New York, NY or Minneapolis, MN or Los Angeles, CA or Seattle, WA or Dallas/Irving, TX or Irvine, CA.

Status:

Accepting Candidates

Description:

o Visa copy

o Name

o Contact Information: Phone | Email

o LinkedIn Profile

o Current location

o Available to join

o Available for interview

o Rate

o Resume attached

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.