Senior Software Engineer, CAST AI

Cost Optimization Team

Salary not provided

Earn a monthly salary from 6500 - 9000 Eur (gross) depending on the level of experience, + Equity Options

AWS

Kubernetes

GCP

Python

Postgres

Azure

Prometheus

Grafana

REST API

loki

Golang

Senior and Expert level

Remote from Europe, UK

More information about location

Kubernetes automation platform

Job no longer available

Kubernetes automation platform

201-500 employees

B2BArtificial IntelligenceEnterpriseSaaSCyber SecurityDevOpsCloud Computing

Job no longer available

Salary not provided

Earn a monthly salary from 6500 - 9000 Eur (gross) depending on the level of experience, + Equity Options

AWS

Kubernetes

GCP

Python

Postgres

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

At cost optimization team, our day is usually full of challenges
Have you ever encountered the situation where you need to expand your cloud infrastructure, in order for certain workloads to be deployed, and once the demand is low, to cut back on your cloud spendings?
Most of us probably did, or at least know the many paths that need to be taken in order to achieve that
One of the team's responsibilities is to make sure that whenever a customer is about to deploy something the burden of making sure that things are running & not costing unnecessary money is uplifted from them
These are just couple small pieces of a bigger puzzle
To get into a more detailed perspective, try to answer the following questions:
What happens when the demand for resources decreases? What should we do?
What kind of instance types to use (spot vs on-demand)?
What to do when cloud provider claims all of the spot instances back? Can we predict that?
What is the most efficient way to handle all of the workloads while taking into account both cost & efficiency metrics?
What is the visibility of all of the decisions that our engine is taking to both our customers and us?
These are just several of the many questions that are part of the daily job when working in this team
Being part of this team would involve design and decision-making end-to-end while collaborating with colleagues from other teams
CAST AI being a technical product, it is encouraged, not only to go and code something as written in the JIRA ticket but also to come up with new features & potential solutions to the problems that customers are facing

Application process

We usually respond within a day

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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