Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically.
Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently.
Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ.
What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between.
APA/Agentic - An intelligent agentic system that not only detects application performance issues but proactively resolves them. By deeply integrating with observability stacks and leveraging Kubernetes, APA automates optimization, scaling, security, and recovery, enabling applications to run faster, cheaper, and more reliably.
Here are some of the tools we use daily:
- Languages: Python (optionally Golang)
- AI: LLMs (SaaS, self-hosted), Agents and Tools
- Observability: LGTM Stack, Arize Phoenix
- CI/CD & GitOps: GitLab CI with ArgoCD.
- Strong software engineering skills in Python.
- Hands-on experience integrating LLMs into production-grade systems.
- Strong English skills, both verbal and written.
- Ability to work independently and collaboratively within a team.
- Startup mindset: adaptable, proactive, and comfortable with ambiguity.
- A proactive, problem-solving mindset with a "yes we can" attitude.
- Build, test, and evaluate autonomous agents using large language models (LLMs).
- Collaborate with Product teams to identify high-impact use cases for AI-driven automation in observability and infrastructure.
- Design and develop tools that integrate with observability platforms (e.g., monitoring, logging, and tracing systems), codebases, and internal systems.
- Develop and maintain reliable pipelines that combine agentic workflows with traditional code-based solutions to create production-ready, deployable components.
- Stay up-to-date with advancements in LLMs, AI agents, and related tooling, and bring in best practices and new ideas to the team.
- Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Private health insurance.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
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