DevOps Engineer
RemoteRomania
Job Summary
Design, implement, and improve CI/CD pipelines and automation processes while building and maintaining scalable Kubernetes-based environments. Optimize infrastructure performance, reliability, and operational efficiency by troubleshooting production issues and participating in incident response and root-cause analysis. Collaborate closely with development teams on infrastructure topics, implement security best practices including secrets management and access control, and drive continuous improvement initiatives. Manage Linux and Windows build agents, utilize Terraform and Ansible for configuration, and leverage monitoring tools like Grafana and OpenSearch. Requires 3+ years of experience with Docker, Azure DevOps, and scripting skills.
Required Qualifications
- 3+ years of commercial experience as a DevOps Engineer or Infrastructure Engineer
- Strong hands-on experience with Docker and Kubernetes
- Solid experience with CI/CD pipelines in Azure DevOps
- Good knowledge of YAML pipelines, reusable templates, approval gates, and Azure Repos governance
- Experience managing Linux and Windows build agents and Azure Artifacts feeds
- Practical experience with Terraform and/or Ansible
- Strong scripting skills with Bash and Python or PowerShell
- Experience with monitoring and observability tools such as Grafana, OpenSearch, or Elasticsearch
- Strong understanding of infrastructure and application security principles
- Experience with HashiCorp Vault or similar secrets management solutions
- Experience managing TLS certificates and secure infrastructure configurations
- Understanding of least privilege, network segmentation, and isolated environments
- Experience troubleshooting production systems and participating in incident response
- Upper-Intermediate English level
Desired Qualifications
- AWS experience with EC2, S3, IAM, RDS, and VPC
- Experience with AI infrastructure or LLM-powered services
- Knowledge of Azure AI Foundry, OpenAI APIs, or Anthropic APIs
- Experience monitoring and supporting AI workloads in production
- Experience integrating AI-related automation into CI/CD pipelines
- Practical use of AI coding assistants such as GitHub Copilot or Claude Code
- Knowledge of AI-related data protection and audit logging practices
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