Cloud Infrastructure Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Cloud Infrastructure Engineer (AI): Designing and maintaining scalable cloud and on-premise infrastructure for a unique analytical platform with an accent on automation, reliability, and observability. Focus on actively utilizing AI agentic tooling to streamline deployments, infrastructure-as-code workflows, and incident management.
Location: Must be based in or able to work from the Czech Republic (Brno or Prague)
Company
.AI is an AI-native, composable data intelligence platform provider that empowers enterprises to turn raw data into business impact through agentic AI and embedded analytics.
What you will do
- Design and maintain infrastructure for deployment, scaling, and monitoring across cloud and on-premise environments.
- Manage AWS, Azure, GCP, and physical server deployments including Kubernetes and OpenStack.
- Actively use AI agents daily for infrastructure code generation, review, and operational automation.
- Drive technical improvements in observability, security, and system availability.
- Ensure smooth integration with logging, alerting, and security systems.
- Participate in a 24/7 on-call rotation.
Requirements
- 4+ years of hands-on experience in infrastructure, operations, or SRE roles.
- Strong Linux administration and troubleshooting skills.
- Experience with cloud platforms (AWS, Azure, or GCP) and Kubernetes.
- Proficiency in shell scripting and at least one scripting language like Python.
- Genuine interest in AI-assisted engineering and willingness to integrate AI agents into daily workflows.
- Good communication skills in English.
Nice to have
- Experience with Docker, Ansible, Puppet, Terraform, and Git.
- Hands-on experience with agentic AI tooling beyond autocomplete (e.g., Claude Code, Cursor).
- Background in security-conscious and agile environments.
Culture & Benefits
- Hybrid work model with flexible working hours.
- 25 vacation days plus personal days.
- Annual bonus and stock options.
- Meal contributions and Edenred Cafeteria points.
- Supportive engineering culture with a focus on AI-first practices.
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