DevOps Engineer

Posted 7 Days Ago
Hiring Remotely in USA
Remote
Junior
Artificial Intelligence • Machine Learning
The Role
As a DevOps Engineer, you'll be responsible for deploying and managing Arize’s software in customer environments, automation of release pipelines, and ensuring performance and reliability of the infrastructure supporting AI applications. You'll interact with product teams, support scalability, and monitor platform health.
Summary Generated by Built In

The Opportunity

AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, multi-agent systems, human quality voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.

Arize is the leading AI observability and Evaluation platform to help AI teams discover issues, diagnose problems, and improve the results of their AI Applications. In short: we are here to build world class software that helps make AI applications work better.

The Team

Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative.

What You’ll Do

  • 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

The estimated annual salary for this role is between $100,000 - $185,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.


More About Arize

Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.

Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c


Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup

Top Skills

Ansible
AWS
Azure
Bash
Bazel
Chef
GCP
Go
Java
Kubernetes
Linux
Postgres
Puppet
Python
Terraform
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The Company
HQ: Berkeley, CA
78 Employees
On-site Workplace

What We Do

The leading machine learning observability platform for ML practitioners to detect and troubleshoot AI/ML model issues

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