3 дня назад
Lead Cloud DevOps Architect (AWS GenAI & Bedrock)
150 000 - 160 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Cloud DevOps Architect (AWS GenAI & Bedrock): Industrializing AWS Bedrock and Agent Core platforms and building secure, production-ready GenAI architectures with an accent on platform engineering, infrastructure automation, and operational governance. Focus on designing CI/CD pipelines, Terraform IaC, GitOps and DevSecOps practices, observability, reliability, and enterprise GenAI deployment.
Location: Remote, limited to candidates legally authorized to work in the United States; Jersey City, NJ is listed as the role location.
Salary: $150,000–$160,000 yearly USD, plus a performance-based bonus or variable payout.
Company
delivers technology engagements involving enterprise architecture, cloud platforms, engineering, and client delivery.
What you will do
- Industrialize and operationalize AWS Bedrock and Agent Core platforms for enterprise GenAI adoption.
- Design secure, scalable, production-ready GenAI platform architectures and reusable deployment frameworks.
- Build CI/CD pipelines, Terraform and AWS-native infrastructure automation, IaC templates, and deployment accelerators.
- Implement GitOps, DevSecOps, governance, security controls, monitoring, observability, logging, and alerting for AI workloads.
- Manage provisioning, releases, configuration, incidents, root-cause analysis, reliability, performance, and cloud cost optimization.
- Lead the engagement, collaborate with clients, AWS teams, architects, and delivery leadership, and mentor offshore and onsite teams.
Requirements
- 12–15 years of relevant professional experience.
- Strong AWS Cloud Platform expertise, including hands-on AWS Bedrock and AWS Agent Core experience.
- Experience with AWS Launchpad Framework, AWS CodeBuild, Kubernetes, Ansible, GitHub Actions, Jenkins, and Git.
- Expert-level Terraform and Infrastructure as Code experience, with strong CI/CD pipeline engineering skills.
- Strong Python development or scripting experience and experience designing secure, scalable cloud architectures.
- Legal authorization to work in the United States is required.
Nice to have
- Experience industrializing enterprise GenAI platforms and creating reusable IaC accelerators for AI workloads.
- Experience with FinOps, cloud cost optimization, and AWS-native automation.
- Experience establishing enterprise-wide GitOps and DevSecOps standards.
- Experience with technology roadmaps, risk management, delivery governance, and mentoring distributed engineering teams.
Culture & Benefits
- Permanent remote position.
- Performance-based bonus or variable compensation component.
- Collaboration with enterprise architecture, security, engineering, AWS, and delivery stakeholders.
- Inclusive workplace with consideration for all qualified applicants.
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