
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $150k - $185k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
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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.
• Work hands-on with infrastructure supporting distributed and highly scalable services in SaaS and on-prem offerings • Gather customer requirements and adapt manifests and software to support new environments • Use and augment monitoring tools to observe platform health and 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 • Explore emerging technologies to solve infrastructure challenges • Support deployment of Arize in customer environments and development of software and tooling for large-scale system management
• 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 • Ability to be a self-starter and thrive in a fast-paced environment • Experience working with multiple cloud providers (AWS, GCP, Azure) • Understanding how to adapt cloud-native architectures for on-premises environments • Strong troubleshooting skills
• Competitive equity package • Medical insurance • Dental insurance • Vision insurance • 401(k) plan • Unlimited paid time off • Generous parental leave plan • Mental and wellness support • WFH monthly stipend for co-working spaces • Option to work in-person for employees in New York City and the San Francisco Bay Area • Regular chats with industry experts, researchers, and ethicists across the ecosystem • Culturally conscious events such as LGBTQ trivia during pride month • Active Lady Arizers subgroup
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