обновлено 12 дней назад
AI First DevOps Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI First DevOps Engineer (AI/Cloud/Kubernetes): Building self-service cloud, delivery, and observability platforms for a high-scale weather intelligence product with an accent on AI-enabled operations, reliability, security, and cost efficiency. Focus on designing Kubernetes and IaC solutions, improving CI/CD and production observability, and solving complex performance and scalability challenges through on-call ownership.
Location: 21 Ha'Arba'a St., 20th floor, Tel Aviv, Israel
Company
builds a weather resilience platform combining space technology, generative AI, and proprietary weather modeling to support forecasting and weather-related decision-making.
What you will do
- Evolve and maintain cloud infrastructure, delivery systems, observability, and self-service platforms at scale.
- Develop and adopt AI-centered tools that improve development and operations efficiency.
- Partner with engineering teams to improve API and platform performance, reliability, scalability, security, and cost.
- Maintain production availability against SLOs and participate in the on-call rotation.
- Investigate incidents through resolution and implement measures that prevent recurrence.
- Collaborate with developers, weather scientists, and R&D stakeholders while improving internal engineering practices.
Requirements
- 4+ years of experience as a DevOps or Platform Engineer.
- 2+ years of hands-on experience with a major cloud provider: GCP, AWS, or Azure.
- Experience with Infrastructure as Code such as Terraform; Crossplane or another Kubernetes-native approach is a plus.
- Production-level Kubernetes expertise, including containerized deployments, scheduling, resource management, and troubleshooting.
- Experience building and owning CI/CD pipelines, advanced deployment methodologies, and monitoring and observability systems such as Datadog, Grafana, Loki, Prometheus, or ELK.
- Software engineering skills, hands-on experience shaping AI tools and agents, and a strong sense of ownership for production reliability.
Culture & Benefits
- One-office working environment with Zoom collaboration and flexible hours.
- Unlimited vacation days.
- Impact and delivery are valued over hours worked.
- Transparent, direct, and empathetic working culture.
- Individual career growth paths and opportunities to develop technical depth and responsibility.
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