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Open nowPosted 66 days ago

DevOps Engineer (m/f/d)

Variosystems AG45 open roles

Where
Colombo, Western Province, Sri Lanka
Work mode
On site
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Your applicationOpen nowDevOps Engineer (m/f/d)Variosystems AG · Colombo, Western Province, Sri Lanka

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Variosystems AG's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Variosystems AG postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 66 days ago

Variosystems AG median: 20 days open

The posting

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.
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