Why Cast AI?
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 betwe
Core values that hold us all together:
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.
We are looking for a hands-on Engineering Manager to join our Engineering team
This is a hybrid role—part leadership, part deep technical contribution. You’ll manage one or more engineering teams depending on your experience and interests. These teams work across foundational cloud-native domains: Kubernetes internals, infrastructure orchestration, workload scheduling, secure on-prem deployment, and developer tooling.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.
Responsibilities as an Engineering Manager:
- Lead, mentor, and grow high-performing engineering teams
- 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
Responsibilities as a Software Engineer:
- Contribute to architecture and hands-on development in one or more areas:
- Kubernetes controllers, operators, and scheduling logic
- Infrastructure-as-Code tooling, especially Terraform
- CI/CD pipelines and secure release automation
- Multi-cloud orchestration across AWS, GCP, Azure
- Secure or air-gapped deployments for enterprise environments
- Write clean, maintainable, and testable code in Golang
- Debug complex distributed systems (networking, containers, OS-level)
- Collaborate with cross-functional teams and support customer onboarding
- Take part in production support and incident response processes
Requirements:
- Proven experience leading technical teams in a fast-paced environment
- Strong backend engineering background, 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)
- Deep familiarity with infrastructure automation tools (especially Terraform)
- Knowledge of CI/CD systems (GitLab, GitHub) and release engineering best practices
- Clear communicator with strong written and verbal English skills
- Collaborative and action-oriented leadership style
Nice to Have:
- Familiarity with secure or air-gapped deployment environments
- Contributions to Kubernetes or CNCF open-source projects
- Experience leading cross-functional efforts with customer-facing impact
What’s in it for you?
- Work with top-tier engineers on technically ambitious projects
- Shape the architecture and roadmap of critical cloud-native systems
- Flexible working hours and remote-first culture (GMT 0 – GMT +3 preferred)
- Fast iteration cycles—features ship in 1 to 4 weeks with tight feedback loops
- Equity options and monthly salary up to €9,000, depending on experience
- Minimal bureaucracy, maximum focus time
- 10% personal innovation time and a generous budget for tools and learning
We’ll match you with the right team based on your expertise and interests - whether that’s building Kubernetes internals, secure cloud deployments, or developer-first infrastructure tooling.
Ready to lead the future of cloud-native automation? Apply now.
