CAST AI is the leading Kubernetes cost optimization 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 more than 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. CAST AI is rapidly expanding and we are looking for software engineering leaders to join our team.
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.
The KUBE Team serves as the bedrock upon which our cost optimization product suite rests. Customers initiate their experience with cost optimization product through the infrastructure and solutions constructed by this team. Additionally, the CAST AI Optimization Engine leverages these foundational elements to realize 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 parallelized 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 virtualization) 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.
We are looking for a hands-on Engineering Manager to join our Product team. It is a hybrid role, and you will be responsible for managing a team and spending at least half of your time on the product code.
You will be responsible for the product development execution.
You will be working in a highly skilled team and collaborating in a full development lifecycle.
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