Arize AI

DevOps Engineer

Remote

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, SoftwareIndustries

Requirements

Candidates should have 3+ years of experience as a DevOps Engineer, Cloud Engineer, or Infrastructure Engineer, with fluency in Kubernetes. Experience with multiple cloud providers (AWS, GCP, Azure) and adapting cloud-native architectures for on-premises environments is required, along with strong troubleshooting skills and excellent communication abilities to work directly with customers.

Responsibilities

The DevOps Engineer will work hands-on with infrastructure for distributed and scalable services, gathering customer requirements and adapting software for new environments. Responsibilities include using and augmenting monitoring tools, interacting with the product team for new feature testing and releases, and automating and optimizing the release pipeline. The role also involves demonstrating continuous curiosity for emerging technologies.

Skills

DevOps
Cloud Engineering
Infrastructure Engineering
Kubernetes
GCP
Azure
AWS
Networking
Security
Monitoring Tools
Release Pipeline Automation
Generative AI
Agentic Systems
AI Observability
AI Evaluation

Arize AI

AI observability and model evaluation platform

About Arize AI

Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access analytics and workflows that help identify and resolve issues within their AI systems, ensuring optimal performance. Key features include task-based evaluations for aspects like hallucination and relevance, as well as tools for visualizing query and knowledge base embeddings to enhance retrieval accuracy. Unlike many competitors, Arize AI specifically targets the needs of top AI companies, offering tailored solutions for continuous improvement of their models. The goal of Arize AI is to empower these companies to enhance their AI capabilities through effective monitoring and evaluation.

Berkeley, CaliforniaHeadquarters
2020Year Founded
$59.3MTotal Funding
SERIES_BCompany Stage
Data & Analytics, AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Unlimited Paid Time Off
Parental Leave
Mental Health Support
Flexible Work Hours

Risks

Competition from tech giants like Microsoft may overshadow Arize's offerings.
Rapid tech advancements could render Arize's features obsolete if not updated.
Data privacy compliance in the EU poses challenges for Arize AI.

Differentiation

Arize AI offers industry-first AI Copilot for troubleshooting AI systems.
The platform provides unique prompt engineering and retrieval tracing workflows.
Arize AI supports EU data residency, addressing regional data privacy concerns.

Upsides

Increased demand for AI observability tools boosts Arize AI's market potential.
Collaboration with Microsoft enhances Arize AI's enterprise deployment capabilities.
Prompt variable monitoring highlights Arize AI's commitment to LLM performance enhancement.

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