Senior DevOps Engineer

🕒 April 15

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Arize AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

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.

📋 Description

• Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings • Gather requirements from customers and adapt manifests and software to support new environments • Use and augment monitoring tools to observe platform health, ensure performance and reliability • Interact with the product team to test new features and package new on-prem releases • Automate and optimize the release pipeline to make it as frictionless as possible • Exhibit continuous curiosity for emerging technology that could solve our challenges

🎯 Requirements

• 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar • Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs • Experience and fluency in Kubernetes • A self starter with an ability to thrive in a fast paced environment • Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments • Strong troubleshooting skills

🏖️ Benefits

• unlimited paid time off • generous parental leave plan • mental and wellness support