Senior Software Engineer – Kube Team Engineering – Lithuania, European Union – Position Available In Orange, Florida

Job Description:

Why CAST AI?CAST AI is the leading Kubernetes automationplatform for AWS, GCP, and Azure customers. The company is on amission to deliver a fully automated Kubernetes experience. What’sunique about CAST AI is that its platform goes beyond monitoringclusters and making recommendations; it utilizes advanced machinelearning algorithms to analyze and automatically optimize clusters,saving customers 50% or more on their cloud spend, improvingperformance and reliability, and boosting DevOps and engineeringproductivity.

The company has raised $73M from investors, includingCota Capital, Creandum, Uncorrelated Ventures, and VintageInvestment Partners. CAST AI has nearly 200 employees globally andis headquartered in Miami, Florida.

However, this is merely thebeginning. Our product roadmap is filled with exciting innovationsthat are yet to come. We are searching for intelligent, motivated,and self-reliant people to help us fulfill this ambitiousmission.

Core values that hold us all together:

PRACTICE CUSTOMEROBSESSION.

Focus on the customer journey and work backwards. Striveto deliver customer value and continuously solve customer problems.

Listen to customer feedback, act, and iterate to improve customerexperience.

LEAD. Take ownership and lead through action. Think andact on behalf of the entire company to build long-term value acrossteam boundaries.

DEVELOP AND HIRE THE BEST.

Strive to raise theperformance bar by continuously investing in yourself, the team,and by hiring the best possible candidates for every position.

Drive towards personal development and professional growth, andmentor others to raise the collective bar.

EXPECT AND ADVOCATECHANGE.

Strive to innovate and accept the inevitable change thatcomes with innovation. Constantly welcome new ideas and opinions.

Share insights responsibly with unwavering openness, honesty, andrespect. Once a path is chosen, be ready to disagree and commit toa direction.

What does Kube Team do?

The Kube Team serves as thebedrock upon which our cost optimisation product suite rests.

Customers initiate their experience with cost optimisation productthrough the infrastructure and solutions constructed by this team.

Additionally, the CAST AI Optimisation Engine leverages thesefoundational elements to realise significant AAA savings for ourclients.

To give you a glimpse into the complexities wenavigate: We’ve successfully engineered ways to integrate independentKubernetes nodes into existing third-party clusters like EKS, GKE,and AKS. Given the absence of official documentation, this requireda good deal of reverse engineering and yielded invaluableinsights. We have authored our own Terraform provider. We developed a highly parallelised engine capable of managingand reconciling the diverse clusters of our numerouscustomers. We’ve implemented a unified API that abstracts away thediffering implementations across various cloud providers. We’re SME of lower level infrastructure (operating systems,cloud networking, storage, and virtualisation) at CAST AI.The aboveexamples merely scratch the surface of what we’ve achieved.

Consider that these efforts are magnified by the range of cloudproviders we support – and each one presents its own uniquechallenges. Each development sprint uncovers new hurdles andlearning opportunities. We consider ourselves fortunate to operatein a cutting-edge technological landscape.

Here are some of thetechnologies 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.

Having experience withthese tools is not a strict prerequisite for the ideal candidate,but it does offer a competitive edge.

Requirements:

You have to be physically in any of the European countries GMT0 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” attitudeWhat’s in it for you? Join a fast-growing, cutting-edge company that’s redefiningcloud-native automation and optimization. Work with a global team of cloud experts and innovators,passionate about pushing the boundaries of Kubernetestechnology. Enjoy a flexible, remote-first work environment withopportunities to travel and engage with customers worldwide. Competitive compensation package, equity options, and extensivebenefits. Short feedback loop. We have an obsession with customersatisfaction. The ship features fast and gets instant feedback.

Feature projects tend to be completed in 1 to 4 weeks, depending onthe scope. 10% time to focus on self-improvement or personalprojects. Monthly salary from —6500 to —9000 (gross) depending on thelevel of experience. #J-18808-Ljbffr