Описание
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% рабочего времени на личные проекты или самообразование
•Бюджет на обучение для профессионального и личностного развития, включая международные конференции и курсы
•Ежегодный хакатон
•Бюджет на тимбилдинг и корпоративные мероприятия
•Бюджет на оборудование
•Дополнительные выходные дни
•Спонсирование визы или рабочего разрешения не предоставляется
•На финальном этапе отбора может проводиться проверка биографических данных через Checkr
