Azure Platform Engineer — CI/CD & Resilience

Atos SE

Wrocław

On-site

PLN 180,000 - 240,000

Full time

3 days ago
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Job summary

Atos SE is seeking a Senior Platform Engineer to design, automate, and operate a robust Azure-based data and reporting platform. You will ensure reliability, scalability, and security while enabling data-driven products and external-facing services.

You will lead IaC, CI/CD, and observability efforts, collaborating with data engineering and infrastructure teams to deliver mission-critical workloads with strong governance and uptime targets.

Qualifications

  • Extensive hands-on experience with Azure platform services and cloud infrastructure.
  • Proven ability to design, implement and operate highly available cloud platforms.
  • Strong experience with CI/CD, IaC and monitoring/observability practices.

Responsibilities

  • Own CI/CD implementation, release management and deployment automation.
  • Coordinate between engineering and infrastructure teams.
  • Design and maintain Infrastructure as Code solutions.
  • Establish monitoring, logging, alerting, and observability frameworks.
  • Define backup, restore, DR, and business continuity strategies.
  • Ensure platform reliability, performance, and maintainability.
  • Promote security controls and governance across platforms.
  • Support scalability and SLA-driven availability requirements.
  • Identify opportunities for automation and continuous improvement.
  • Contribute to architecture discussions and platform decisions.

Skills

Azure platform
Azure DevOps
CI/CD pipelines
Monitoring & observability
Security & governance
Stakeholder management
Cross-team collaboration

Tools

Terraform
Bicep
ARM templates
Git

Job description

Atos SE is seeking a Senior Platform Engineer to design, automate, and operate a robust Azure-based data and reporting platform. You will ensure reliability, scalability, and security while enabling data-driven products and external-facing services.

You will lead IaC, CI/CD, and observability efforts, collaborating with data engineering and infrastructure teams to deliver mission-critical workloads with strong governance and uptime targets.

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