The role involves architecting and managing Azure resources, designing CI/CD workflows, implementing SRE practices, incident management, monitoring with Datadog, and collaborating using Atlassian tools.
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.
Responsibilities
- 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.
Must-Have Qualifications
- 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.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Top Skills
Atlassian Suite
Centos
Datadog
Docker
Git
Git
Github Actions
JSON
Azure
Python
Rhel
Shell
Sonarqube Cloud
Terraform
Ubuntu
Windows Server
Yaml
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