5 дней назад
Researcher (Kubernetes)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Researcher (Kubernetes/Cloud Infrastructure): Conducting deep research and building hands-on prototypes for Kubernetes internals, cloud resource optimization, and performance engineering with an accent on scheduling, autoscaling, and container resource usage. Focus on designing simulations and benchmarks, translating research into infrastructure features, and exploring emerging cloud-native and FinOps strategies.
Location: Tel Aviv, Israel
Company
develops an autonomous cloud and AI infrastructure resource management platform that optimizes enterprise compute performance and cloud costs.
What you will do
- Research Kubernetes internals, scheduling, autoscaling, and container resource usage.
- Explore cloud resource optimization, cost efficiency, and performance engineering strategies.
- Design and deliver proofs of concept, simulations, and benchmarks.
- Translate research findings into product features and engineering enhancements.
- Track developments in cloud-native and FinOps ecosystems.
- Contribute to technical blogs, white papers, and internal knowledge sharing.
Requirements
- 7+ years of experience in engineering, systems research, or large-scale infrastructure roles.
- Deep knowledge of Kubernetes internals, containerization, cloud infrastructure, and resource orchestration.
- Hands-on coding experience in Go, Python, or other systems-level programming languages.
- Strong analytical and research skills, including a track record of delivering innovative proofs of concept.
- Ability to own technical domains and drive projects end-to-end.
- Excellent written and verbal communication skills.
Nice to have
- Experience with cloud cost optimization, scheduling, or autoscaling.
- Published technical research artifacts.
- Experience presenting at technical events.
- Machine learning experience, including time-series models or LLMs.
- Prior security research experience.
Culture & Benefits
- Hands-on research role combining technical investigation, prototyping, and cross-team collaboration.
- Opportunity to work on autonomous cloud and AI infrastructure for enterprise production environments.
- Backed by Insight Partners, Lightspeed Venture Partners, and other leading venture capital firms.
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