H2O AI Engineer

CGI Deutschland • Dallas, TX

100d • $88,200 - $214,800

About The Position

We are looking for a Cloud Integration Engineer to play a critical role in installing, integrating, and supporting various third-party tools within our client's AI as a Service Platform. You will be responsible for defining architectural patterns for cloud integration, resolving network and security challenges, and ensuring smooth operations for both infrastructure and end users. This position can be performed remotely.

Requirements

• Degree in computer science or information technology.
• 5+ years' experience with cloud computing technologies, with a focus on Azure.
• 5+ years' experience with Kubernetes for container orchestration and management.
• 5+ years' experience with support procedures and methodologies for production computing environments.
• Experience in designing, deploying, and managing production-grade machine learning workloads.
• Experience automating routine tasks, including CI/CD pipelines and infrastructure provisioning.
• Experience with automation tools like Terraform, Ansible and Helm for infrastructure provisioning and configuration management.
• Experience with performance and log analysis.
• Excellent interpersonal skills and written/verbal communication skills.

Responsibilities

• Install and integrate various third-party tools (e.g., Unsupervised, H2O.ai widgets) into the client's AI platform.
• Address network, security, and other integration challenges within the client's Azure Cloud environment.
• Define and implement cloud integration architectures and patterns.
• Provide ongoing support, including updates, patches, and troubleshooting for integrated applications.
• Assist end users and teams utilizing the platform.
• Design and develop deployment, automation, management, and maintenance of Azure cloud-based production systems.
• Ensure availability, performance, security, and scalability of various cloud production systems.
• Management of creation, release, and configuration of production systems.
• Evaluate new technology alternatives and vendor products.
• System troubleshooting and problem resolution across various application domains and platforms.
• Pre-production acceptance testing for quality assurance.
• Provision of critical system security by leveraging best practices and prolific cloud security solutions.
• Provide recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
• Design, maintain and manage tools for automation and machine learning processes.

Benefits

• Competitive compensation including profit participation program.
• Comprehensive medical, dental, and vision benefits.
• Basic life and accidental death & dismemberment insurance.
• Matching contributions through 401(k) plan, and CGI share purchase plan.
• Flexibility and paid accrued vacation leave, ranging from 10 to 20 days per year.
• 10 paid holidays per year.
• At least 80 consecutive hours of paid sick/safe leave.
• Paid parental leave, ranging from 20 to 70 consecutive business days.
• Bereavement leave, ranging from 1 to 7 days per year.
• Paid jury duty leave, up to time summoned.
• Learning opportunities and tuition assistance.
• Wellness and Well-being programs.

What This Job Offers

• Job Type: Full-time
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree