5 часов назад
Software Engineer (Kubernetes)
215 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Kubernetes) (Distributed AI Infrastructure): Building scalable control-plane and data-plane services for Anyscale’s cloud platform and Ray workloads with an accent on Kubernetes orchestration, distributed systems, and cloud-native infrastructure. Focus on designing cluster scheduling and resource management, integrating GPUs and TPUs, and improving reliability, performance, scalability, and observability.
Location: San Francisco, hybrid
Salary: $215K–$275K target base salary per year, plus equity
Company
develops cloud infrastructure and tools for running distributed AI and machine learning applications with Ray.
What you will do
- Design, build, and scale services for orchestrating Ray clusters across cloud and on-premises environments.
- Develop control-plane components for cluster management, scheduling, and user access, as well as data-plane capabilities for high-performance distributed workloads.
- Build intelligent scheduling and resource-management systems for heterogeneous compute clusters.
- Improve the reliability, performance, scalability, and observability of managed Ray workloads, including GPU and TPU integration.
- Manage container images and dependency resolution for distributed workloads.
- Participate in code reviews, architecture discussions, and on-call infrastructure troubleshooting with customer-facing teams.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 3+ years of experience writing high-quality production code.
- Hands-on experience building and maintaining highly available, scalable, and performant distributed systems.
- Expertise with cloud-native technologies, Kubernetes-based deployments, and AWS, Azure, or GCP.
- Strong understanding of networking, security, authentication, observability, Linux foundations, file systems, and containers.
- Proficiency in Go and Python.
Culture & Benefits
- Hybrid work in San Francisco.
- Opportunity to contribute to open-source Ray and ’s proprietary platform.
- Stock options and healthcare plans with premiums covered at 99%.
- 401(k) retirement plan, wellness and education stipend, paid parental leave, fertility benefits, and paid time off.
- Commute reimbursement and fully covered in-office meals.
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