Senior Cloud Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Cloud Platform Engineer (AI): Designing and developing cloud-native platforms and internal developer platforms (IDP) with an accent on scalability, security, and AI-assisted engineering workflows. Focus on automating infrastructure through IaC, optimizing Kubernetes environments, and integrating LLM-based tools to boost productivity.
Location: Remote (Poland)
Company
is an IT consultancy firm that helps startups and large corporations deliver innovative technologies across various sectors including Telecom, Energy, and EdTech.
What you will do
- Design and develop cloud-native platforms and Internal Developer Platforms (IDP) to provide scalable and secure solutions for engineering teams.
- Build and maintain Infrastructure as Code (IaC) using Terraform, Pulumi, or CloudFormation.
- Develop and automate CI/CD pipelines and deployments across AWS, Azure, or GCP.
- Improve system observability, monitoring, alerting, and incident response capabilities.
- Integrate AI tools and LLM-based workflows, including coding agents, to enhance engineering productivity and platform operations.
- Establish standards and guidelines for the safe, secure, and observable usage of AI tools within the SDLC.
Requirements
- Solid professional experience as a Cloud, DevOps, Platform, or SRE Engineer.
- Hands-on experience with Kubernetes in production or near-production environments.
- Proficiency with Infrastructure as Code, specifically Terraform.
- Expertise in at least one major cloud platform: AWS, Azure, or GCP.
- Strong scripting or programming skills in Python, Bash, PowerShell, or Go.
- Must be based in Poland for B2B contract eligibility.
Nice to have
- Practical experience using AI tools (e.g., GitHub Copilot, Cursor, Claude Code) for log analysis, script generation, or infrastructure review.
- Understanding of risks associated with AI autonomy, data security, and hallucinations in production.
- Experience creating guidelines for controlled AI usage in engineering teams.
Culture & Benefits
- B2B contract engagement.
- 100% remote work flexibility.
- Opportunity to work on a unique and engaging project within the EdTech space.
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