Location: REMOTE
Duration: 6+ Months Contract
and GC
Video Interview
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.
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