DevOps Engineer (m/f/d)

Posted One Month Ago
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Colombo, LKA
In-Office
Mid level
Aerospace • Defense • Industrial • Manufacturing
The Role
Manage hybrid cloud, on-premises, private-cloud, and AI/GPU infrastructure across development and production environments. Responsibilities include administering servers, containers, Kubernetes, networking, GitHub/GitLab, CI/CD pipelines, infrastructure as code, monitoring, security, backups, and disaster recovery. The role troubleshoots complex infrastructure issues, automates operational processes, supports upgrades and releases, and maintains documentation while improving reliability, scalability, and security.
Summary Generated by Built In
Company Description

Variosystems develops and manufactures electronic solutions for industries where reliability is critical - including Medtech & Life Science, Industrial & Automation, Aerospace & Defence and Smart Infrastructure & Environment. As a long-term strategic partner to innovators and market leaders, we offer services along the entire value chain, from concept and engineering to validated assemblies and global production. Across our global network, more than 2,800 people work together to transform ideas into reliable electronic systems.

Job Description

  • Manage cloud, on-premises, and privately hosted cloud infrastructure across Dev, STG, UAT, and Production environments.  
  • Manage Linux/ Windows servers, virtual machines, containers, storage, networking, firewalls, VPNs, DNS, load balancers, reverse proxies and Kubernetes clusters.  
  • Manage and maintain GitHub and GitLab environments, including cloud-hosted and on-premises GitLab. 
  • Design and maintain CI/CD pipelines using GitHub Actions, GitLab CI/CD, Azure DevOps, and self-hosted runners. 
  • Manage Docker/ containerized applications and container registries.  
  • Implement Infrastructure as Code using Terraform or similar technologies. 
  • Manage on-premises AI/GPU servers, AI services, model-serving infrastructure, and AI integrations.  
  • Support deployment and operation of internal AI services and their integration with business applications. 
  • Manage hybrid connectivity between cloud and on-premises environments.  
  • Implement infrastructure monitoring, logging, alerting, and observability using tools such as Grafana(LGTM), Elasticsearch(ELK/EFK), Prometheus, or similar. 
  • Manage infrastructure security, access control, secrets, certificates, backups, and disaster recovery.  
  • Troubleshoot infrastructure, networking, deployment, performance, and availability issues. 
  • Automate operational tasks and continuously improve deployment and infrastructure processes.  
  • Maintain infrastructure documentation, architecture diagrams, and operational procedures. 
  • Support infrastructure upgrades, migrations, capacity planning, and production releases.   

Qualifications

  • 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. 

Preferred Qualifications

  • 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. 

Ideal Candidate 

We are looking for a hands-on, automation-focused DevOps Engineer who can take ownership of infrastructure across cloud, on-premises, private cloud, GitHub, GitLab, CI/CD, containers, networking, monitoring, and AI infrastructure. 

You should be comfortable troubleshooting complex environments, working independently, and continuously improving infrastructure to make it more reliable, secure, automated, and scalable. 

Additional Information

  • Flat hierarchies, direct communication, and a backbone of integrity, courage, responsibility.
  • A fast-moving environment where momentum is not lost in approval loops.
  • Collaborate with colleagues and customers across countries, industries, and perspectives.
  • A workplace shaped by technology, curiosity, and continuous improvement.
  • Challenges with scale, depth, and enough complexity to keep you learning.  

Skills Required

  • 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 or 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 and automation skills using PowerShell, Bash, Python, or similar
  • Strong troubleshooting and problem-solving skills
  • Good understanding of infrastructure and application security
  • Experience with GPU/NVIDIA infrastructure and AI/ML workloads
  • Experience with Infrastructure as Code using Bicep
  • Experience operating LLM/AI inference services and APIs
  • Experience with private cloud or on-premises cloud platforms
  • Experience with Azure Container Registry
  • 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

Variosystems AG Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Variosystems AG and has not been reviewed or approved by Variosystems AG.

  • Leave & Time Off Breadth — Flexible hours or student-friendly scheduling is highlighted in certain departments, and some locations offer accommodating schedules and internship opportunities.
  • Retirement Support — 401(k) retirement plans are included for U.S.-based roles, indicating baseline retirement support is available.
  • Healthcare Strength — Health insurance is part of the standard benefits package, suggesting core medical coverage is provided.

Variosystems AG Insights

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The Company
HQ: Steinach
2,800 Employees
Year Founded: 1993

What We Do

Variosystems AG is a global electronics service partner headquartered in Switzerland, specializing in the development, industrialization, production, and life-cycle management of high-quality electronics solutions. As a full-service provider, it supports innovators in demanding sectors including aerospace, defense, medical technology, industrial applications, and mobility, ensuring resilient supply chains through a globally integrated network of production sites across Europe, North America, and Asia.

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