DevOps Release Manager

About Arize

We’re a Series C company backed by top-tier investors, with over $135M in funding and 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 owns the deployment of Arize within customer-managed environments. Beyond partnering with customers to define infrastructure requirements, the team designs and builds the systems that enable Arize to run seamlessly across a wide range of cloud and on-premise infrastructures.

Over time, the team has developed deep expertise in packaging and delivering features from our SaaS platform into reliable, production-ready releases for self-hosted customers. It’s a small, highly dynamic group that operates with a high degree of autonomy, ownership, and initiative.

In this role, you’ll focus on building, packaging, and delivering the Arize stack using a mix of technologies including Bazel, Go, Java, and Python. This is a unique opportunity to work on foundational infrastructure and play a key role in shaping how organizations observe, monitor, and evaluate AI systems in their own environments.

What You’ll Do

• Design, build, and maintain scalable backend systems that power the deployment of Arize in customer-managed (on-prem and cloud) environments.
• Develop tooling and infrastructure to package, test, and deliver the Arize platform as reliable, production-ready self-hosted releases.
• Work across the stack using Go, Java, Python, and Bazel to build reproducible builds and deployment pipelines.
• Partner with customers to understand infrastructure constraints and translate them into robust deployment architectures.
• Build and optimize services that support high-volume analytics workloads in resource-constrained or isolated environments.
• Improve system reliability, observability, and upgradeability for distributed deployments.

What will set you apart:

• 5+ years of experience working with high-performance backend systems.
• Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.
• Previous work building and operating highly complex platforms/systems.
• Knowledge of working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc.
• Familiarity with packaging, release engineering, or reproducible build systems (e.g., Bazel) is a strong plus.
• Ability to operate with autonomy and ownership in a small, fast-moving team.

The estimated annual salary for this role is between $150,000 - $175,000, 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 people.
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.

Learn more about what we're doing here:

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