Why CAST AI? 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 120 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: DEVELOP AND HIRE THE BEST: Be curious and improve continuously to foster personal development and professional growth. LEAD: Take ownership, never kick the can, and drive things forward in a full-power mode. The company is in your hands. EXPECT AND ADVOCATE CHANGE: Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect. PRACTICE CUSTOMER OBSESSION: The customer always, always, always comes first. Solve the customer’s problem, be open to feedback, act on it, and the rest will follow. A Glimpse into the Customer Success Team Our customer-obsessed team is dedicated to delivering world-class proactive guidance to our clients. They are the bridge between our customers and the wider CAST AI organization, representing the customer’s voice to CAST AI and the voice of CAST AI to the customer. The team ensures that our customers are successful in their use of our platform. Role overview Hands-onTechnical Leadership: The solutions architect will work with our most strategic customers in Europe to accelerate onboarding of production clusters to CAST AI, while ensuring best practices through IaC (Terraform/CrossPlane/Ansible). You will play the role of a customer SRE embedding yourself deeply into their infra team to achieve shared goals to delight our customers Technical Onboarding: You will partner with the technical account manager to accelerate time to value for our customers during the onboarding process. You will handle queries ranging from cluster configuration troubleshooting (EKS/GKE/AKS), proactively share best practices, IaC best practices and improvements Optimization and Best Practices : As a trusted technical advisor for our customers, you will continue to provide optimization guidance through more efficient implementation of our node and workload autoscaler, leading to greater cost savings and automation for our customers. You will also take a leadership role inintroducing upcoming products to our customers. Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Foundational knowledge is crucial for understanding the complex technical aspects of our product. Minimum of 5 to 7 years of hands-onexperience in a DevOps/SRE/CloudOps role in AWS/GCP/Azure with a strong focus onmanaged Kubernetes Excellent communication skills, both written and verbal. Certifications (AWS certified solutions architect/CKA/CKS) highly desired What’s init for you? Remote role that offers flexibility to work from any location in Europe Team of highly skilled professionals to work with and learn from Impact and visibility. Our organization is flat, getting in touch with CEO or CTO is a common practice here, 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, Flexible working hours. We deliver instead of sitting in the office 8 to 5, Skin in the game. Every employee gets a share of the company, Time to focus on work with a minimum overhead of meetings, bureaucracy, etc. 10% time to focus on self-improvement or personal projects. #J-18808-Ljbffr
Google Kubernetes Engine (GKE) visibility Infrastructure as Code (IaC) Node.js Terraform Amazon Web Services (AWS) performance Computer Science automation Azure reliability Solutions Architect optimization Customer Satisfaction (CSAT) Communication Google Cloud Platform (GCP) Mentoring production Machine Learning Engineering Flexibility cluster-computing Project management Software Developer feedback Chief Executive Officer (CEO) azure-aks onboarding Chief Technology Officer (CTO) DevOps amazon-eks crossplane Kubernetes ownership monitoring Leadership self-improvement Site Reliability Engineering (SRE) workload algorithms Ansible