Senior Software Engineer, CAST AI

Kube Team

Salary not provided

Monthly salary from €6500 to €9000 (gross) depending on the level of experience + Equity options

AWS

Kubernetes

GCP

Postgres

Terraform

Azure

Prometheus

Grafana

REST API

loki

Golang

Senior and Expert level

Remote from Europe, UK

More information about location

Kubernetes automation platform

Open for applications

Kubernetes automation platform

201-500 employees

B2BArtificial IntelligenceEnterpriseSaaSCyber SecurityDevOpsCloud Computing

Open for applications

Salary not provided

Monthly salary from €6500 to €9000 (gross) depending on the level of experience + Equity options

AWS

Kubernetes

GCP

Postgres

Terraform

Azure

Prometheus

Grafana

REST API

loki

Golang

Senior and Expert level

Remote from Europe, UK

More information about location

201-500 employees

B2BArtificial IntelligenceEnterpriseSaaSCyber SecurityDevOpsCloud Computing

Company mission

To pioneer a brighter future of cloud computing.

Job

Company

Role

Who you are

You have to be physically in any of the European countries GMT 0 to GMT +3
Strong software engineering skills
Strong English skills
Strong verbal and written communications skills
Ability to work independently or with a group
A “yes we can” attitude

What the job involves

The Kube Team serves as the bedrock upon which our cost optimisation product suite rests
Customers initiate their experience with cost optimisation product through the infrastructure and solutions constructed by this team
Additionally, the CAST AI Optimisation Engine leverages these foundational elements to realise significant AAA savings for our clients
We've successfully engineered ways to integrate independent Kubernetes nodes into existing third-party clusters like EKS, GKE, and AKS
Given the absence of official documentation, this required a good deal of reverse engineering and yielded invaluable insights
We have authored our own Terraform provider
We developed a highly parallelised engine capable of managing and reconciling the diverse clusters of our numerous customers
We've implemented a unified API that abstracts away the differing implementations across various cloud providers
We're SME of lower level infrastructure (operating systems, cloud networking, storage and virtualisation) at CAST AI
The above examples merely scratch the surface of what we've achieved
Consider that these efforts are magnified by the range of cloud providers we support - and each one presents its own unique challenges
Each development sprint uncovers new hurdles and learning opportunities
We consider ourselves fortunate to operate in a cutting edge technological landscape
Here are some of the technologies we use in the stack:
GoLang is our language
Kubernetes is our core product
AWS, GCP, and Azure are the clouds we operate
Postgres and cloud object storage for persistence
Terraform for IaC
GCP PubSub for messaging
GRPC and REST APIs
We use GitLab CI with ArgoCD as our GitOps CD engine
Prometheus, Grafana, Loki, and Tempo for observability
Deployment charts are written in Helm

Application process

We usually respond within three days

Our take

Managing cloud deployments effectively to control costs has become a priority for organizations of all sizes. CAST AI drives cloud optimization and cost reduction by using AI and machine learning to analyze a company’s cloud environment to identify the resources required for maximum performance.

CAST AI’s platform supports all three major cloud service providers; Microsoft Azure, Google Cloud, and Amazon Web Services. When cloud providers have unused machines they are typically discounted by 60-70%, however, if AWS (for example) needs that machine back, they give little warning before reclaiming it. CAST AI is able to automatically detect this, and immediately replace it, meaning companies using its platform will never experience an outage of discounted machines.

As more enterprises embrace cloud technologies, CAST AI is a strong choice of provider as it provides customers with a unified, automated platform, making Infrastructure as a Service (IaaS) more efficient and budget-friendly. The company has seen considerable investment that will be spent on attracting new customers, as well as helping to expand the CAST AI range of products.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

51% employee growth in 12 months

Glassdoor (4.6)

Company

Funding (last 2 of 5 rounds)

Apr 2025

$108m

SERIES C

Nov 2023

$35m

SERIES B

Total funding: $180.7m

Company HQ

Downtown Miami, Miami, FL

Leadership

Yuri Frayman

(Co-Founder & CEO)

Co-founder & former CEO of ZENEDGE, Frayman Group, Viewdle, and LegalKEY Technologies. Founder & former Executive Chairman of CUJO AI. Current Director of Blumarine Group, and is a Board Member/Advisor at Koop Technologies, Secerus, and Perthera AI.

Leon Kuperman

(Co-Founder & CTO)

Co-founder & former CTO of ZENEDGE, Co-founder of HostenPCI, and Founder & previous CTO of Truition. Previous CTO & Technology Advisor at CUJO AI, Vice President of Security Products OCI at Oracle, and was the President & CTO of Bidz.com. Current Board Member for OXYGEN.

Laurent Gil

(Co-Founder & President)

Co-founder & former CPO of ZENEDGE. Previous CEO of Viewdle, CFO of WiPlug, and Director of IdeaCapital. Worked as a Group Architect at Oracle, and was an Advisor for both We Heart It and Cel-Fi.

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