software engineer for Kubernetes automation

Cast AI; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity options 10%

Learning budget

Annual hackathon

Team-building budget

Equipment budget

Extra days off

No visa sponsorship or work permit

Job summary

Cast AI ищет инженера по программному обеспечению для разработки распределённых систем для Kubernetes инфраструктуры, обеспечивающих масштабируемость, автономию и эффективное управление ресурсами

Кандидат будет писать Go-сервисы, работать с AWS, GCP и Azure API и вести функционал от дизайна до продакшна, участвуя в дежурствах и сотрудничая с командами.

Qualifications

• Go production experience preferred; другие языки допускаются при сильной системной разработке
• Понимание внутренних компонентов Kubernetes: автошкалирование, сетевые аспекты
• Опыт разработки распределённых систем и завершённых проектов от идеи до продакшна
• Опыт работы с AI coding agents и workflow-ами на уровне разработки
• Опыт в CI/CD и DevOps
• Отличное владение английским (устно и письменно)

Responsibilities

• Дизайн и создание распределённых систем, автономно управляющих Kubernetes-инфраструктурой в масштабе
• Разработка продакшн-сервисов на Go, взаимодействующих с AWS, GCP и Azure для управления ресурсами
• Бэкторинг функций от дизайна до развёртывания в продакшн, проекты выпускаются за 1–4 недели
• Отладка продакшн-ошибок в многокластерной облачной среде и в Kubernetes
• Сотрудничество с продуктом и инжинирингом для решения задач без готовых решений
• Работа с временными рядами, API облачных провайдеров и контрольной плоскостью Kubernetes
• Участие в направлении продукта и бэклоге

Skills

Go programming

Kubernetes internals

CI/CD & DevOps

English proficiency

Distributed systems

On-call experience

Tools

AWS

GCP

Azure

EKS/GKE/AKS

CRI-O / containerd

Linux internals

Job description

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%
• 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