Informacje o stanowisku

#4936

Our client is a leader in sustainable packaging solutions, leveraging cutting-edge cloud technologies to enhance production, operational excellence, and innovation. Join our team and contribute to eco-friendly advances with state-of-the-art technology and DevOps practices.

Working hours 11:00 - 19:00 CET 

• Technical Skills:
• Microsoft Azure (App Services, VM, Container Instances, AKS, SQL Server, Azure SQL).
• Git, Github, Github Actions.
• SonarQube Cloud, Terraform, Docker.
• Datadog (extensive), SRE concepts (SLOs, SLIs, golden signals, instrumentation).
• Incident management, dashboard development, business reporting.
• Shell scripting, YAML/JSON configs, Python.
• Ubuntu, RHEL, CentOS, Windows/Server (entry).
• Process & Frameworks:
• Atlassian Suite (Jira/Confluence).
• ITSM / ITIL familiarity.
• AI tools (Claude, Github CoPilot, etc.).

Nice-to-Have Qualifications

• Microsoft Azure: App Insights, IoT Hub, Azure DevOps, API Management.
• DevOps: Ansible, Argo CD, CodeRabbit, Artifactory.
• SRE Practices: Capacity planning, cost optimization.
• Programming Languages: JavaScript, PowerShell.
• Other Tools: Snowflake, PagerDuty, Salesforce MuleSoft Anypoint.

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years demonstrated experience in DevOps, SRE, or cloud engineering roles.
• Analytical thinker, problem solver, and proactive communicator.
• Strong collaboration skills, especially across cross-functional and remote teams.
• Ability to thrive in a fast-paced, innovative business environment

#4936

Our client is a leader in sustainable packaging solutions, leveraging cutting-edge cloud technologies to enhance production, operational excellence, and innovation. Join our team and contribute to eco-friendly advances with state-of-the-art technology and DevOps practices.

Working hours 11:00 - 19:00 CET 

,[Cloud Infrastructure: Architect, implement, and manage Microsoft Azure resources including App Services, Virtual Machines, Container Instances, AKS, SQL Server/Instance, and Azure SQL., DevOps Automation: Design and maintain CI/CD workflows using Git, Github Actions, SonarQube Cloud, Terraform, and Docker., SRE Practices: Develop and monitor SLOs, SLIs, and golden signals; instrument applications and infrastructure; build Datadog dashboards for real-time business and incident reporting., Incident Management: Lead incident response, root cause analysis, and post-mortem documentation. Maintain high availability and rapid recovery for business-critical systems., Monitoring & Observability: Extensive use of Datadog for monitoring, logging, and performance analytics., Configuration Management: Work with Shell, YAML, JSON, and Python for scripting, automation, and configuration., System Administration: Administer Ubuntu, RHEL, CentOS, and (entry-level) Windows Server environments., Collaboration: Utilize Atlassian Suite (Jira, Confluence) for documentation, ticketing, and project tracking; contribute to ITSM/ITIL frameworks., AI & Productivity Tools: Integrate and leverage tools like Claude, Github CoPilot, and other AI productivity solutions., Reporting: Create dashboards and business reports to provide actionable insights and drive continuous improvement. Requirements: Python, Azure, Terraform, Docker, Atlassian, Datadog, Ansible Additionally: Flexible working hours and remote work possibility, Life insurance, English lessons, Active tech community, Referral program, Mentoring program, Training budget, Compensation of Certifications, International team, Cafeteria, Modern office, Free coffee, Kitchen, Friendly atmosphere.

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