Infrastructure Software Engineer - On Prem Deployments

February 1

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Arize AI

Arize AI is a company that provides a comprehensive AI observability and evaluation platform designed for AI engineers to build and manage AI applications, particularly those involving large language models (LLMs). The platform offers end-to-end AI tracing, monitoring, and evaluation tools to help users identify and resolve performance bottlenecks, ensure data quality, and improve the performance of AI systems. Arize also supports experimentation and visualization, enabling users to iterate rapidly on AI applications and maintain high-quality service delivery. The company caters to top AI companies, offering solutions for both online and offline LLM evaluation and observability. Arize's tools are particularly valuable for AI model monitoring, troubleshooting, and performance optimization, helping businesses mitigate risks and improve AI outcomes.

πŸ“‹ Description

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

🎯 Requirements

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

πŸ–οΈ Benefits

β€’ medical β€’ dental β€’ vision β€’ 401(k) plan β€’ unlimited paid time off β€’ generous parental leave plan β€’ others for mental and wellness support

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