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. What does AI Optimizer Team do? At the AI Optimizer team, our day is usually full of R&D challenges. Have you ever encountered a situation where you need to expand your AI infrastructure so that the applications can automatically pick the right large language models (LLMs) that are both more cost-efficient and better performing? Most of us probably do nowadays, or at least understand the complexity of making such decisions while keeping track of our cloud budget. One of the team’s responsibilities is ensuring that whenever a customer makes AI-related decisions regarding their K8s infrastructure, they are implemented automatically without unnecessary costs or hassle. This is just one small piece of a bigger puzzle. To get into a more detailed perspective, ask yourself the following questions: How often do you use LLMs? What is the least expensive LLM you can pick for a given prompt without degrading the quality of the response? How much do your applications cost per 1 million tokens and how can you improve it? Which API keys have the biggest waste? How can you improve your frequently running prompt to use fewer tokens? What is fine-tuning and how to do it efficiently? What is a transformer? These are just several of the many questions that are part of the daily work of 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, encourages not only coding something as written in the JIRA ticket but also coming up with new features and potential solutions to customers’ problems. Given that the team is working on a technical greenfield project, you will have the opportunity to impact it in many ways positively. Here are some of the tools we use daily: GoLang is our main language, while Python is an accepted alternative for some cases. ClickHouse and PostgreSQL for persistence. GCP Pub/Sub for messaging. gRPC for internal communication. REST for public APIs. Kubernetes which our product is evolving around. AWS , GCP , and Azure cloud providers, which are currently supported in our platform. We use GitLab CI with ArgoCD as our GitOps CD engine. Prometheus , Grafana , Loki , and Tempo for observability. 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 communication skills Ability to work independently or with a group What’s init for you? 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, Monthly salary from €6000 to €8000 (gross) depending on the level of experience, 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
GitLab loki Amazon Web Services (AWS) Azure argocd DevOps Prometheus Google Cloud Platform (GCP) Kubernetes Machine Learning Engineering Grafana Software Engineer