Infrastructure Software Engineer, Arize AI
On Prem Deployments
$160-210k
+ Equity
Machine learning observability platform
Be an early applicant
Machine learning observability platform
21-100 employees
Be an early applicant
$160-210k
+ Equity
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- 5+ years of experience in infrastructure engineering, with significant exposure to enterprise on-premises deployments
- Deep expertise in container orchestration platforms (especially Kubernetes) and infrastructure-as-code tools like Terraform
- Strong background in enterprise networking, security requirements, and compliance considerations
- Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments
- Track record of building and maintaining automation tools that improve deployment reliability and reduce operational overhead
- Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs
- Experience with Python, Golang, and JavaScript is highly desirable
What the job involves
- As our On-Premises Infrastructure Engineer reporting to the Head of AI Infrastructure, you'll be instrumental in designing and implementing deployment architectures and software that bring Arize's powerful capabilities directly into our customers' environments
- This is a unique opportunity to bridge the gap between cutting-edge AI observability and enterprise infrastructure requirements
- We're seeking an exceptional Infrastructure Engineer who can navigate complex enterprise environments and has a proven track record of building scalable on-premises solutions
- You'll be a key player in our engineering organization, working directly with the CTO and customers to architect and implement solutions that enable seamless deployment of our platform across diverse customer environments
- Design and implement robust deployment architectures that enable Arize to run efficiently in diverse customer environments, from air-gapped systems to hybrid cloud setups
- Collaborate with customers to understand their infrastructure requirements and create tailored deployment solutions that meet their security, compliance, and performance needs
- Develop and maintain automation tools and frameworks that streamline the deployment, upgrade, and maintenance processes for on-premises installations
- Partner with the product team to ensure new features are compatible with on-premises deployments and create efficient release mechanisms
- Create comprehensive monitoring and observability solutions that enable customers to maintain and troubleshoot their Arize installations effectively
Our take
Machine learning is rapidly becoming a fundamental and mainstream automation tool used across many industries. The issue, however, is that monitoring, assessing, and improving ML models is costly, and especially tricky without monitoring capabilities. It’s created a market demand for ML monitoring tools, and Arize’s platform offers a rich suite of them.
The Arize platform gives developers and operators comprehensive oversight of their models with tools including performance tracing, drift detection, and integration and deployment. This provides a crucial guardrail: as more decision-making is handed over to ML in areas like insurance and loans, poor ML model performance can have a catastrophic effect on both individuals and customers alike.
Remarkably, given this development, ML observability platforms aren’t yet in huge supply. Arize startup rivals like Censius and WhyLabs are making strong headway, but a clear winner has by no means yet emerged. Arize has, however, netted some major customers: Spotify, Instacart, Uber, and P&G are a handful of the major clients that will help it lay a strong foundation in what is anticipated to be a highly lucrative market.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Sep 2022
$38m
SERIES B
Sep 2021
$19m
SERIES A
Total funding: $61m
Company benefits
- Remote work opportunities
Company values
- Integrity - Do what you say, say what you do
- Balance - Hold space for what matters to you
- Candor - Be open, be honest, be constructive
- Humility - Keep a learning mindset
Company HQ
Mill Valley, CA
Articles
Leadership
Jason Lopatecki
(CEO)Previously a System Architect at Calix, before they moved on to found and serve as CSO/CIO at TubeMogul for over a decade.
Aparna Dhinakaran
(CPO)Has held Software Engineer roles at both Dote and Apple, and worked on Machine Learning at TubeMogul and Uber. Also co-founded and served as CEO at Monitor ML, and is additionally a columnist at Forbes.
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