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описание
Cast AI does not provide any form of visa sponsorship/work permit. A background check may be conducted at the final stage of recruitment through its third-party provider, Checkr.
Cast AI builds real-time automation for Kubernetes infrastructure, including node placement and provisioning, workload rightsizing and migration, self-scaling storage, and GPU capacity optimization across clouds and regions.
задачи
Design and build distributed systems that autonomously operate Kubernetes infrastructure at scale
Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management
Own features end-to-end, from design through implementation, testing, and production rollout; most projects ship in 1–4 weeks
Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services
Collaborate with product and engineering teams to solve problems without textbook solutions
Work with time-series data, cloud provider APIs, and Kubernetes control plane internals
Contribute to product direction and the backlog by shaping what gets built
Participate in on-call rotation for teams that require it
требования
Strong software engineering fundamentals, including clean abstractions, maintainable code, and justified architecture choices
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language
Understanding of Kubernetes internals, including autoscaling and networking
Personally driven a complex project end-to-end
Experience with AI coding agents and agentic development workflows
Used observability tooling in production
Experience with CI/CD and DevOps practices
Strong verbal and written English skills
Adaptable, proactive, and comfortable with ambiguity
Будет плюсом: hands-on experience with AWS, GCP, or Azure and understanding of compute, networking, and storage internals; knowledge of EKS, GKE, or AKS internals; experience with CRI-O, runc, or containerd; cloud storage knowledge including block storage, CSI, volume management, and filesystem internals; low-level Linux experience including process internals, packet-level networking, NAT, iptables, conntrack, eBPF, SDN, filesystems, and storage; low-level C or C++ systems programming; Kubernetes or cloud-native OSS contributions
условия
Equity options
10% Of work time for personal projects or self-improvement
Learning budget for professional and personal development, including international conferences and courses
Annual hackathon
Team-building budget and company events
Equipment budget
Extra days off
No visa sponsorship or work permit is provided
A background check may be conducted at the final recruitment stage through Checkr
