AI Cloud Engineer
ABOUT US HirexHire (pronounced hire by hire) is a recruiting and talent consultancy that integrates with companies short-term to provide long-term talent solutions. We take a seat in our client’s everyday operations to understand their people goals, gaps, and challenges. We then develop and implement the processes and technologies to execute a sustainable and scalable talent plan. We partner with companies expecting or experiencing high growth who need to hire at scale or fill a critical role rapidly. Our clients are not looking for quick-fix placements but are thoughtfully building a hiring strategy to scale their businesses. OUR CLIENT Location: Chicago, IL (Remote) Industry: E-Commerce Company Size: <50 What They Do: Our client offers a powerful technology solution that helps businesses build and manage online sales channels more effectively. Their platform focuses on efficiency, accuracy, and scalability, making it easier for customers to launch and grow their digital operations. THE ROLE Our client is seeking an AI Cloud Engineer to help modernize and scale cloud infrastructure through automation, DevOps best practices, and AI-driven operational improvements. This individual will partner closely with engineering teams to build resilient cloud environments, streamline deployment processes, strengthen security, and leverage emerging AI technologies to improve infrastructure management and operational efficiency. The ideal candidate is a hands-on engineer who thrives in highly autonomous environments and enjoys solving complex infrastructure challenges. WHAT YOU WILL DO Design, build, and maintain AWS cloud infrastructure using Infrastructure-as-Code principles and modern automation practices. Develop and support CI/CD pipelines that improve deployment speed, reliability, and operational efficiency. Build, deploy, and manage containerized workloads using ECS, EKS, and other cloud-native technologies. Create automation solutions using Python, Bash, PowerShell, and related scripting tools to reduce manual operational work. Implement monitoring, alerting, and observability solutions that ensure platform reliability, performance, and visibility. Collaborate with engineering teams to improve cloud architecture, scalability, security, and operational readiness. Leverage AI technologies to automate infrastructure management, security processes, documentation, and internal workflows. Establish and maintain cloud governance, security controls, compliance standards, and operational best practices. Create and maintain technical documentation that supports knowledge sharing, system reliability, and long-term maintainability. WHAT YOU WILL NEED 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, Infrastructure Engineering, or a related discipline. Strong experience with AWS services, including ECS, EKS, Bedrock, and other cloud-native technologies. Hands-on experience building and maintaining Infrastructure-as-Code solutions using Terraform, OpenTofu, or similar platforms. Experience developing CI/CD pipelines and deployment automation using tools such as GitHub Actions, Azure DevOps, or comparable technologies. Proficiency with Python and infrastructure automation scripting using Bash, PowerShell, Batch, or related tools. Experience leveraging AI technologies, including Claude or other large language models, to automate operational workflows, infrastructure management, or documentation processes. Strong understanding of cloud security, access management, compliance frameworks, observability platforms, and infrastructure best practices. Experience supporting Linux and Windows environments, containerized workloads, and distributed cloud-based systems. Excellent problem-solving, communication, and collaboration skills, with the ability to work independently in a fast-paced environment and adapt to evolving priorities.