Cloud Operations Engineer – DocAI+ Automation & Infra

Commerzbank Digital Technology Centre Poland; Łódź; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

Commerzbank Digital Technology Centre Poland is seeking an Operations Engineer to support the DocAI+ initiative, ensuring resilient operations across backend processes.

You will deploy pipelines, monitor performance, manage incidents, and coordinate across cloud, development and infra teams, with a hybrid work setup on-site in Łódź.

Ideal candidates have hands-on Google Cloud, SQL, Unix/Linux, and pipeline architecture experience, along with a proactive approach and documentation discipline.

Qualifications

• Hands-on experience with Google Cloud applications.
• Good knowledge of SQL.
• Good knowledge of Unix/Linux.
• Understanding of pipeline architecture.

Responsibilities

• Deploy the DocAI pipeline using X-Bank CI/CD and Infrastructure as Code standards.
• Monitor application availability, performance, and processing quality to ensure stable operations.
• Manage incidents, problems, and changes, including troubleshooting and root cause analysis.
• Document IT issues and define effective workarounds where required.
• Support configuration, testing, and release validation for document-processing workflows.
• Drive automation and continuous improvement of cloud operations processes.
• Coordinate deployments, changes, and service improvements across development, cloud, and infrastructure teams.
• Ensure regulatory compliance and maintain auditable operational records.
• Maintain deployment, monitoring, and incident response documentation.

Skills

Google Cloud

SQL

Unix/Linux

Pipeline architecture

Job description

Commerzbank Digital Technology Centre Poland is seeking an Operations Engineer to support the DocAI+ initiative, ensuring resilient operations across backend processes.

You will deploy pipelines, monitor performance, manage incidents, and coordinate across cloud, development and infra teams, with a hybrid work setup on-site in Łódź.

Ideal candidates have hands-on Google Cloud, SQL, Unix/Linux, and pipeline architecture experience, along with a proactive approach and documentation discipline.