Arize AI
From Arize AI's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
The estimated annual salary for this role is between $150,000 - $185,000, plus a competitive equity package.
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize unifies build, test, and run in a single workspace, so teams can ship faster with confidence.
Arize serves a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
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.
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
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
A self starter with an ability to thrived 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
Bench Engineer Submissions: We do not accept resumes or candidate submissions for bench engineers—individuals currently employed by a staffing, consulting, or third-party organization who are being marketed for placement on client engagements. All candidates applying for consideration must be seeking direct employment with Arize and should not be presented as part of an agency or consulting firm’s available bench.
The estimated annual salary for this role is between $150,000 - $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
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/
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
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