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Senior Cloud Platform Engineer with AI Enablement

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Algoteque

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Location:
Poland , Warszawa

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Category:
IT - Software Development

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Contract Type:
B2B

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Salary:

Not provided
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Job Description:

We are looking for a Senior Cloud Platform Engineer with AI Enablement experience for a project for our client from the EdTech industry. If you feel at home in cloud environments and you're curious about how AI is shaping the daily work of engineers, this role could be a great fit for you. Apply and join a team that combines a solid platform foundation with a modern approach to AI tools!

Job Responsibility:

  • Design and develop cloud-native platforms and internal developer platforms (IDP)
  • Deliver scalable, reliable and secure platform solutions for engineering teams
  • Work with Kubernetes and cloud services on AWS, Azure or GCP
  • Build and maintain Infrastructure as Code (Terraform, Pulumi, CloudFormation)
  • Develop CI/CD pipelines and automate deployments
  • Introduce platform standards, reusable templates, golden paths and best practices
  • Improve observability, monitoring, alerting and incident response
  • Support reliability, high availability, disaster recovery and operational stability
  • Use AI tools and AI-assisted workflows to boost engineering productivity and platform operations
  • Help define safe, controlled usage of AI tools, coding agents and LLM-based workflows
  • Support teams with AI-assisted documentation, runbooks, log analysis, script generation, CI/CD and infrastructure review
  • Ensure AI usage is secure, observable and aligned with engineering standards

Requirements:

  • Solid experience as a Cloud, DevOps, Platform, SRE or Infrastructure Engineer
  • Hands-on knowledge of at least one major cloud platform: AWS, Azure or GCP
  • Experience with Kubernetes in production or near-production environments
  • Experience with Infrastructure as Code, especially Terraform
  • Familiarity with CI/CD tools (GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps or Tekton)
  • Knowledge of observability and monitoring tools (Prometheus, Grafana, ELK, Loki, Datadog, New Relic, CloudWatch or OpenSearch)
  • Experience with production support, incident management, RCA and deployment stability
  • Good scripting or programming skills (Python, Bash, PowerShell or Go)
  • Understanding of security basics, IAM, secrets management and secure cloud delivery
  • Experience working with development teams and improving Developer Experience
  • Ability to create standards, documentation, automation and reusable platform components
  • AI Enablement - practical experience or strong interest in using AI in real engineering work, for example: using AI tools to support cloud operations and DevOps tasks, AI-assisted log analysis and incident investigation, generating or reviewing scripts, Terraform, Helm, YAML and CI/CD configuration with AI, building documentation and runbooks with AI support, working with coding assistants such as GitHub Copilot, Cursor, Claude Code, OpenCode or similar, using LLM tools for monitoring, quality, cost or performance analysis, supporting safe usage of coding agents and AI-assisted SDLC, creating guidelines for controlled AI usage in engineering teams, understanding risks around AI autonomy, data security, compliance, hallucinations, cost and production safety
What we offer:
  • B2B contract
  • 100% remote work
  • A unique and engaging project in the EdTech space

Additional Information:

Job Posted:
May 17, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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