DevOps Engineer (m/f/d)
About the role
Variosystems is seeking a DevOps Engineer to manage and maintain cloud, on-premises, and privately hosted infrastructure across multiple environments. The role involves overseeing Linux/Windows servers, virtual machines, containers, networking, firewalls, VPNs, DNS, load balancers, reverse proxies, and Kubernetes clusters. Responsibilities include designing and maintaining CI/CD pipelines, implementing Infrastructure as Code, managing AI/GPU servers and integrations, supporting deployment of internal AI services, and ensuring hybrid connectivity. The position also covers infrastructure monitoring, security, troubleshooting, automation, documentation, and supporting upgrades and migrations. Candidates should have strong experience in DevOps, cloud engineering, and automation, with a focus on reliability and continuous improvement. The company operates globally, serving industries where reliability is critical, and offers a collaborative, fast-moving environment with opportunities for learning and growth.
Must have
- 3+ years of experience in DevOps, Cloud Engineering, Infrastructure Engineering, or a similar role.
- Strong experience with Linux and/or Windows Server and/or Kubernetes.
- Hands-on experience with Docker and CI/CD.
- Strong experience with GitHub, GitHub Actions, GitLab, and GitLab CI/CD.
- Experience managing self-hosted/on-premises GitLab and CI/CD runners.
- Practical experience with Microsoft Azure or another major cloud platform.
- Experience with on-premises and hybrid infrastructure.
- Good understanding of networking, DNS, VPN, firewalls, reverse proxies, load balancing, and SSL/TLS.
- Experience with Terraform, Bicep, or other Infrastructure as Code tools.
- Experience with monitoring and logging platforms.
- Strong scripting/automation skills using PowerShell, Bash, Python, or similar.
- Strong troubleshooting and problem-solving skills.
- Good understanding of infrastructure and application security.
Nice to have
- Experience with GPU/NVIDIA infrastructure and AI/ML workloads.
- Experience with IAC using Bicep
- Experience operating LLM/AI inference services and APIs.
- Experience with private cloud / on-premises cloud platforms.
- Experience with Azure Container Registry (ACR).
- Experience with Traefik, NGINX, or IIS.
- Experience with PostgreSQL, SQL Server, Redis, Elasticsearch, or MongoDB from an infrastructure perspective.
- Knowledge of DevSecOps, disaster recovery, and cloud cost optimization.
- Relevant Azure, Kubernetes, Terraform, or GitLab certifications.
Technologies
- Azure
- Azure DevOps
- Backbone.js
- Bash
- Bicep
- CI/CD
- DevOps
- DevSecOps
- DNS
- Docker
- Elasticsearch
- ELK Stack
- Firewall
- GitHub
- GitHub Actions
- GitLab
- Grafana
- IIS
- Infrastructure as Code
- Kubernetes
- Linux
- LLM
- Machine Learning
- MongoDB
- NGINX
- Observability
- PostgreSQL
- PowerShell
- Prometheus
- Python
- Redis
- SQL
- SQL Server
- SSL
- Terraform
- TLS
- Uat
- VPN
- Windows
- Windows Server
Highlights
The company emphasizes flat hierarchies, direct communication, and a culture of integrity and responsibility. The environment is fast-moving, with minimal approval loops, and offers collaboration across countries and industries. The workplace is shaped by technology and continuous improvement, presenting challenges with scale and complexity. No specific location, remote work, or application deadline is mentioned.
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