
- employees
🏗️ Construction
💼 Consulting
🏨 Hospitality
Construction • Consulting • Hospitality
CFactory-Creations is a company specializing in the design and manufacturing of furniture and home furnishings. They focus on creating innovative and stylish solutions for both residential and commercial spaces, catering to a wide range of customer needs and preferences.
🔥 0 minutes ago
🌐 Bulgaria, Romania, +1 more countries – Remote
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
👻 Ghost score 12%
🗣️🇩🇪 German Required
Ansible
AWS
Azure
Cloud
ElasticSearch
Google Cloud Platform
Grafana
Kubernetes
Linux
MariaDB
Prometheus
Python
SQL
Terraform
Go
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- employees
🏗️ Construction
💼 Consulting
🏨 Hospitality
Construction • Consulting • Hospitality
CFactory-Creations is a company specializing in the design and manufacturing of furniture and home furnishings. They focus on creating innovative and stylish solutions for both residential and commercial spaces, catering to a wide range of customer needs and preferences.
• Run the existing cplace Cloud 1.0 reliably and securely for customers • Shape the architecture and operating model of the Kubernetes-based cplace Cloud 2.0 • Design clusters, networking, storage, tenant isolation and scaling • Plan and drive migration of customer environments from Cloud 1.0 • Develop reusable Terraform modules, GitOps repositories and platform software such as self-service portals, APIs and automation • Conduct code reviews and create automated tests and policy as code • Operate and improve Linux servers, containers, SQL databases and Elasticsearch • Resolve bugs, findings and capacity issues through incident and problem management and post-mortems • Convert manual procedures into versioned, tested code using Ansible, Terraform and n8n • Improve monitoring, logging and alerting • Own backup and recovery, disaster recovery and business continuity, including regular testing • Implement security and compliance requirements such as SOC 2, ISO 27001 and GDPR • Optimize cost and capacity • Drive AI use in operations, including incident and log analysis and agents for runbooks and routine tasks • Collaborate with product development for smooth releases • Represent the team technically in customer meetings, tenders and customer projects • Contribute to internal and external documentation and mentor others • Participate in on-call duty in a fair rotation
• Degree in computer science or a related STEM field, or comparable vocational training • Several years of experience as an SRE, DevOps or platform engineer in business-critical production environments; ideally 5+ years • Solid hands-on experience with Kubernetes in production, including operations, upgrades, troubleshooting, storage and networking • Experience with at least one cloud provider; AWS, GCP, Azure and/or Hetzner Cloud a strong plus • Deep experience with infrastructure as code, including Terraform and Ansible • Experience with CI/CD, GitOps and Git-based collaboration via pull requests and code reviews • Experience writing modular, tested and maintainable code • Strong Linux skills • Experience with SQL databases such as MariaDB, Elasticsearch/OpenSearch and observability stacks such as Prometheus, Grafana and Loki/ELK • Solid software engineering skills, ideally in Go or Python • Confident Bash scripting • Good understanding of cloud security, including network segmentation, secrets management and WAF • Hands-on experience with AI tools in everyday engineering and understanding of their strengths and limits • Customer-focused and structured way of working • Ability to explain technical topics clearly • Fluent German and English • Participation in on-call duty in a fair rotation • Must be based in Bulgaria, the Czech Republic, Romania or Slovakia and hired via EOR or staffing partner
• The chance to shape a new cloud platform from the start, with real influence on architecture and technology • An experienced, collaborative team spanning SRE, Support, Escalation Engineering and Technical Account Management • Exciting enterprise customers and varied technical challenges • Working environment where modern AI tools are readily available and actively developed further • Employment via EOR or staffing partner, with local employment and full integration into the Cloud Operations team
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