Senior Software Engineer - Infrastructure
Cast AI
| Company | Cast AI |
| Category | Engineering |
| Location | BG |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | EUR 7k–9k |
| Posted | 5 May 2026 |
| Last verified | 13 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Cast AI is an automation platform that optimizes cloud-native and AI infrastructure at scale using autonomous decision-making in Kubernetes and cloud environments. You will join a team building low-level systems for the multi-cloud automation platform, working at the intersection of Kubernetes, cloud infrastructure, and Linux.
What You'll Do
• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure
• Solve infrastructure-layer problems including networking, scheduling, storage, compute, and container runtime internals
• Build and maintain high-throughput services using gRPC/REST and async orchestration workflows
• Participate in design reviews, code reviews, on-call rotations, and customer technical deep-dives
• Leverage and improve AI-powered development workflows and agentic development tools
What You Need
• Strong backend fundamentals and production-grade coding experience, preferably in Go
• Hands-on experience with Kubernetes internals, cloud infrastructure, or large-scale distributed systems
• Clear English communication with collaborative and self-directed approach
• Deep understanding of Linux systems including process internals, networking, and filesystems
• Proven experience working across AWS, GCP, and Azure cloud platforms
Nice to Have
• Deep knowledge of EKS, GKE, or AKS internals
• Low-level Linux experience with networking protocols (NAT, iptables, conntrack, SDN) and storage systems
• Kubernetes or cloud-native open-source contributions
• Container runtime experience with CRI-O, runc, containerd, or CRIU checkpoint/restore
• Experience with AI coding agents and agentic development workflows
€6,500–€9,000 gross monthly salary depending on experience level, equity options, learning budget for conferences and courses, 10% time for personal projects, annual hackathon, team-building budget, equipment budget, and extra days off for work-life balance