On-Premises Infrastructure Engineer

Position Overview

AI is rapidly transforming the world, and Arize is at the forefront as the leading AI observability and Evaluation platform. We help AI teams discover issues, diagnose problems, and improve the results of their AI Applications. We are building world-class software to make AI applications work better.

As our On-Premises Infrastructure Engineer, reporting to the Head of AI Infrastructure, you will be instrumental in designing and implementing deployment architectures and software that bring Arize's powerful capabilities directly into our customers' environments. This is a unique opportunity to bridge the gap between cutting-edge AI observability and enterprise infrastructure requirements.

The Role

We are seeking an exceptional Infrastructure Engineer with a proven track record of building scalable on-premises solutions and the ability to navigate complex enterprise environments. You will be a key player in our engineering organization, working directly with the CTO and customers to architect and implement solutions that enable seamless deployment of our platform across diverse customer environments.

What You’ll Work On

• Design and implement robust deployment architectures that enable Arize to run efficiently in diverse customer environments, from air-gapped systems to hybrid cloud setups.
• Collaborate with customers to understand their infrastructure requirements and create tailored deployment solutions that meet their security, compliance, and performance needs.
• Develop and maintain automation tools and frameworks that streamline the deployment, upgrade, and maintenance processes for on-premises installations.
• Partner with the product team to ensure new features are compatible with on-premises deployments and create efficient release mechanisms.
• Create comprehensive monitoring and observability solutions that enable customers to maintain and troubleshoot their Arize installations effectively.

Requirements

• 5+ years of experience in infrastructure engineering, with significant exposure to enterprise on-premises deployments.
• Deep expertise in container orchestration platforms (especially Kubernetes) and infrastructure-as-code tools like Terraform.
• Strong background in enterprise networking, security requirements, and compliance considerations.
• Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments.
• Track record of building and maintaining automation tools that improve deployment reliability and reduce operational overhead.
• Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs.
• Experience with Python, Golang, and JavaScript is highly desirable.

Compensation & Benefits

• Estimated Annual Salary: $160,000 - $210,000
• Variable Compensation: Competitive equity package.
• Total Compensation: Includes a comprehensive benefit package:
  • Medical, dental, and vision insurance.
  • 401(k) plan.
  • Unlimited paid time off.
  • Generous parental leave plan.
  • Mental and wellness support.

Note: Actual compensation is determined based upon a variety of job-related factors, including transferable work experience, skill sets, and qualifications.

Company Information

• Company Mission: To make the world’s AI work and work for the people.
• Company Structure: Fully remote company with optional offices in New York City and the San Francisco Bay Area for those who prefer in-person work. Employees outside these areas receive a WFH monthly stipend for co-working spaces.

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