Cloud Engineer – AI Solutions (Manager)

Accountabilities

• Design, provision, operate, and continuously improve end-to-end cloud environments supporting client engagements and internal AI initiatives.
• Build and manage production-grade Infrastructure as Code using technologies such as Terraform and CDK.
• Design and provision data engineering pipelines along with infrastructure supporting AI/ML and large language model workloads.
• Establish and maintain DevOps pipelines for data engineering, AI solutions, applications, and other technology components.
• Containerize and deploy applications using cloud-native compute, serverless, and related services.
• Build observability foundations covering logging, monitoring, alerting, operational visibility, and cloud cost tracking.
• Implement secure cloud deployments across identity and access management, networking, secrets management, and other security controls.
• Establish compliance guardrails appropriate for regulated environments and ensure infrastructure meets required security standards.
• Develop runbooks, operational documentation, deployment guidance, and support handoff processes.
• Review infrastructure architectures and Infrastructure as Code developed by other team members to ensure quality, scalability, security, and maintainability.
• Serve as the cloud engineering lead on client engagements, communicating infrastructure strategies, trade-offs, and decisions to client stakeholders.
• Partner with Solution Architects, engineers, client IT teams, and security professionals to align infrastructure with technical and business requirements.
• Contribute to a cross-functional delivery culture focused on high-quality execution, innovation, and continuous improvement.

Requirements

• 5+ years of professional experience in cloud engineering, platform engineering, or infrastructure development.
• Demonstrated ability to design and provision cloud infrastructure using at least one major cloud platform, such as AWS, Azure, or Google Cloud Platform.
• Strong hands-on knowledge of AI/ML and LLM infrastructure on at least one major cloud platform.
• Proven production experience implementing and managing Infrastructure as Code.
• Experience designing and supporting Hub-and-Spoke cloud architectures across development, QA, staging, and production environments.
• Strong understanding of cloud networking, security, identity, access management, and secure infrastructure practices.
• Experience building reliable, scalable, and production-ready cloud environments.
• Strong communication and stakeholder-management skills, including experience working directly with clients.
• 5+ years of consulting or client-delivery experience is preferred.
• Cloud certification in AWS, Azure, or GCP is preferred.
• Ability to review technical designs and provide constructive guidance on cloud architecture and Infrastructure as Code.
• Strong problem-solving, analytical, organizational, and collaboration skills, with the ability to operate effectively in a fast-changing AI technology environment.
• Comfortable taking ownership of infrastructure decisions and translating complex technical concepts for both technical and non-technical stakeholders.
• Willingness and ability to travel as needed to support client requirements.
• Candidates may be based remotely across the United States or Canada, subject to client and business needs.

Benefits

• Estimated base salary of $155,000–$175,000 per year, depending on skills, certifications, experience, market conditions, and travel requirements.
• Eligibility for annual incentive compensation based on performance.
• Estimated total compensation, including incentive opportunity, of approximately $186,000–$210,000.
• Medical, dental, and vision coverage.
• Wellness programs and resources supporting overall employee well-being.
• 401(k) retirement plan with employer contribution.
• Employee stock purchase plan.
• Generous paid time off.
• Paid parental leave.
• Adoption assistance.
• Opportunities for continuous learning, professional development, and progression toward cloud architecture responsibilities.
• Remote work flexibility across the United States and Canada, with travel as required by client engagements.
• Collaborative, cross-functional environment focused on innovation, technical excellence, and impactful client outcomes.