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Lead Cloud DevOps Architect - AWS GenAI & Bedrock
Posted: 09/11/2026
Job Number: WmlIcG1jQUxUNlp3VlBqVlBjUll5dz09
Pay Rate: 150000-160000 Yearly USD
Job Description
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Title: Lead Cloud DevOps Architect – AWS GenAI & Bedrock
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Location: Jersey City, NJ
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Duration: Permanent
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Pay Range:DOE
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Work Mode: REMOTE
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Experience: 12–15 Years
We welcome candidates with all U.S. work authorization types, provided they are legally authorized to work in the United States.
Key Responsibilities
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Lead the industrialization and operationalization of AWS Bedrock and Agent Core platforms.
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Design and implement scalable, secure, and production-ready GenAI platform architectures.
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Enable enterprise adoption of GenAI solutions through standardized deployment frameworks and reusable components.
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Establish platform governance, security controls, monitoring, and operational excellence practices.
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Partner with business architecture, security, and engineering teams to accelerate GenAI use-case deployment.
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Design and implement CI/CD pipelines for GenAI applications and platform services.
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Automate infrastructure provisioning using Terraform and AWS-native automation tools.
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Develop reusable Infrastructure as Code (IaC) templates and deployment accelerators.
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Implement GitOps and DevSecOps best practices across deployments.
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Manage environment provisioning, release management, and configuration management processes.
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Define monitoring, observability, logging, and alerting strategies for AI workloads.
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Ensure platform availability, performance, scalability, and resiliency.
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Drive incident management, root-cause analysis, and continuous improvement initiatives.
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Optimize cloud resource utilization and support FinOps initiatives.
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Act as the primary DevOps lead for the engagement.
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Collaborate directly with client stakeholders, AWS teams, architects, and delivery leadership.
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Provide technical leadership, mentoring, and guidance to offshore and onsite teams.
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Contribute to roadmap planning, risk management, and delivery governance.
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12–15 years of relevant professional experience.
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Strong expertise in AWS Cloud Platform.
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Hands-on experience with AWS Bedrock and AWS Agent Core.
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Experience with AWS Launchpad Framework.
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Strong DevOps Platform Engineering experience.
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Expert-level Terraform and Infrastructure as Code (IaC) experience.
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Strong CI/CD Pipeline Engineering experience.
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Hands-on experience with GitHub Actions and Jenkins.
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Strong knowledge of DevSecOps and GitOps practices.
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Experience with Ansible.
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Experience with AWS CodeBuild.
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Strong Git experience.
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Experience with Kubernetes.
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Strong Python development/scripting experience.
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Experience designing secure, scalable, and production-ready cloud architectures.
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Strong monitoring, observability, logging, and alerting experience.
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Strong incident management, root-cause analysis, and reliability engineering skills.
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Strong client-facing leadership and stakeholder management skills.
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Experience industrializing and operationalizing enterprise GenAI platforms.
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Experience developing reusable deployment frameworks and IaC accelerators for AI workloads.
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Experience with AWS-native automation and cloud platform engineering.
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Experience implementing enterprise-wide GitOps and DevSecOps standards.
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Experience with FinOps, cloud cost optimization, and resource utilization.
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Experience mentoring offshore and onsite engineering teams.
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Experience contributing to technology roadmaps, risk management, and delivery governance.
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Experience working directly with AWS teams and enterprise architecture stakeholders.
Additional Compensation Information: This permanent position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation will depend on the individual's skills, experience, performance, and internal equity.
We are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.