Senior Site Reliability Engineer, Clarifai
Deep learning AI platform
Job no longer available
Deep learning AI platform
21-100 employees
Job no longer available
21-100 employees
Company mission
To simplify how developers and teams create, share, and run enterprise AI at scale
Role
Who you are
- BS/BA in Computer Science or related degree
- Good knowledge of cloud providers (AWS, GCP or similar)
- Expertise with Kubernetes (EKS, GKE, self-hosted) and Infrastructure as Code using Terraform, Helm
- Solid understanding of web and networking (HTTP, TLS, DNS, Certificates, etc)
- Experience with CI/CD pipelines using tools such as GitHub Actions, ArgoCD, and Atlantis
- Strong interpersonal skills working with teams across different time zones and regions
Desirable
- Knowledge of basic Microservice Architecture principles
- Familiarity with security best practices for cloud-based systems
- Experience with relational databases, message queues, key value stores
- Experience writing python, golang, or any other popular programming language
- Familiarity with any RPC framework
- Experience developing & building custom Kubernetes operators
What the job involves
- Clarifai’s platform is a kubernetes-native distributed system that requires the orchestration of many components
- Efficiently serving and training large neural networks presents unique design and infrastructure challenges
- You will be critical to solving these challenges both in the context of the cloud and in on premise environments
- Additionally, you will be responsible for our broader cloud infrastructure and development tools and environments
- Ensure the smooth operation and high availability of Clarifai's core services
- Monitor system performance, identify bottlenecks, and implement optimizations to enhance reliability and efficiency
- Develop Kubernetes resources and custom tooling for seamless cloud and on-premise deployments
- Design and implement scalable, secure, and cost-effective infrastructure solutions
- Partner with teams across the organization to identify & solve engineering challenges
Our take
Clarifai is an enterprise AI platform designed to support the AI development lifecycle, from data preparation to model training to deployment. The company started out delivering API tools that could algorithmically recognize images on websites, which has allowed it to become an expert in unstructured data such as images, videos, text and audio.
Since launch, the company has become a market leader in AI, and its offering has developed into a full-stack AI platform that helps users to create, manage and deploy AI workloads on any compute. One partnership of note is a cooperative research and development agreement with the US Army which saw Clarifai work on a large-scale electro-optical/infrared data labelling effort.
In 2026, Clarifai became a part of Nebius, an AI cloud company. Its core engineering and research team joined Nebius, continuing their mission but now backed by Nebius' infrastructure. This is an exciting development for the company, and one which allows it to pursue further cutting-edge research in the AI space.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Oct 2021
$60m
SERIES C
Jan 2021
$1.2m
GRANT
Total funding: $101.2m
Company benefits
- Continuous learning: Once a month Hackdays and a yearly training stipend
- Insurance: Medical, dental, vision, and life insurance
- 401K contribution: Quarterly contributions with no matching required
- Unlimited paid time off: Stay fresh with unlimited paid vacation
- Work-from-home stipend: Receive a monthly stipend for your home office expenses
- Maternity & Paternity: Generous maternity, paternity and adoption leaves, as well as family medical care leave
- Equity: Equity-based compensation to create long-term alignment
- Cell phone reimbursement: Receive a monthly stipend towards your cell phone bill
Company HQ
Wilmington, DE
Leadership
Matt Zeiler
(Founder & CEO)Attained a PhD in Philosophy and Computer Science at NYU. Matt then went on to be a Software Engineering Intern at Google. Alongside this, he founded Review-Mate in 2006. The company sold review booklets to university students and was in operation until 2013, when he founded Clarifai.
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