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.
About the role
We are looking for a hands-on Engineering Manager to join our Engineering and lead the Reporting team. This is a hybrid role - part leadership, part deep technical contribution, with approximately 50% of your time spent coding. You’ll help shape technical direction, support your team’s growth, and stay close to the code. Expect to spend at least half your time involved in technical work- be it design, review, prototyping, or implementation.
The Reporting team is responsible for building a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.
- Proven experience leading technical teams in a fast-paced environment
- Strong software engineering skills with experience in distributed systems and backend development, ideally in Go
- Solid understanding of Kubernetes internals or cloud-native infrastructure
- Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure)
- Strong grasp of database systems and architecture; experience with time-series databases is a plus
- CI/CD and DevOps practices experience
- Clear communicator with strong written and verbal English skills
- Collaborative and action-oriented leadership style.
- Lead, mentor, and grow high-performing engineering teams
- Actively contribute to the codebase - building and maintaining the high-scale data ingestion and time-series reporting infrastructure
- Drive team execution by aligning delivery with business and product goals
- Partner with Product Owners and Tech Leads to shape scope and roadmap
- Ensure robustness, scalability, and security in all deliverables
- Foster a culture of learning, ownership, and technical excellence
- Actively contribute to hiring, onboarding, and team-building efforts
- Be a role model and champion of Cast AI’s values and engineering culture
- Participate in the incident response process as needed.
- Competitive salary (up to €10,000 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
- Enjoy a flexible, remote-first global environment
- 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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