Senior Software Engineer - Kube Team

Why CAST AI?

CAST AI is the leading Kubernetes automation platform for AWS, GCP and Azure customers. The company is on a mission to deliver a fully automated Kubernetes experience. What’s unique about CAST AI is that its platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, improving performance and reliability, and boosting DevOps and engineering productivity.

The company has raised $73M from investors, including Cota Capital, Creandum, Uncorrelated Ventures, and Vintage Investment Partners. CAST AI has nearly 200 employees globally and is headquartered in Miami, Florida.

However, this is merely the beginning. Our product roadmap is filled with exciting innovations that are yet to come. We are searching for intelligent, motivated, and self-reliant people to help us fulfill this ambitious mission.

Core Values That Hold Us All Together

PRACTICE CUSTOMER OBSESSION. Focus on the customer journey and work backwards. Strive to deliver customer value and continuously solve customer problems. Listen to customer feedback, act, and iterate to improve customer experience.

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

DEVELOP AND HIRE THE BEST. Strive to raise the performance 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, and mentor others to raise the collective bar.

EXPECT AND ADVOCATE CHANGE. Strive to innovate and accept the inevitable change that comes with innovation. Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect. Once a path is chosen, be ready to disagree and commit to a direction.

What does Kube Team do?

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.

To give you a glimpse into the complexities we navigate:

• 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.
  
  

Having experience with these 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 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's in it for you?

• Join a fast-growing, cutting-edge company that’s redefining cloud-native automation and optimization.
• Work with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Enjoy a flexible, remote-first work environment with opportunities to travel and engage with customers worldwide.
• Competitive compensation package, equity options, and extensive benefits.
• Short feedback loop. We have an obsession with customer satisfaction. The ship features fast and gets instant feedback. Feature projects tend to be completed in 1 to 4 weeks, depending on the scope.
• 10% time to focus on self-improvement or personal projects.
• Monthly salary from €6500 to €9000 (gross) depending on the level of experience.
  
  

CAST AI is the leading Kubernetes automation platform for AWS, GCP and Azure customers. The company is on a mission to deliver a fully automated Kubernetes experience.

What’s unique about CAST AI is that its platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, improving performance and reliability, and boosting DevOps and engineering productivity.

CAST AI has around 200 employees globally and is headquartered in Miami, Florida.