DevOps Engineer

NSO Group provides vetted government agencies with cutting-edge technological solutions designed to prevent and investigate terrorism and crime. We are constantly exploring new technologies to address the next challenge in this dynamic, ever-changing market. Want to join us in making a difference (and have a lot of fun along the way)? Apply now 

As a DevOps Infra Engineer, you will:

• Own and manage the company’s internal AI infrastructure, including GPU-based environments
• Manage and maintain Kubernetes-based infrastructure, owning the platform end to end
• Design, develop and maintain in-house infrastructure, automation tools and systems
• Manage the DevOps tools including Bitbucket, Jenkins, Artifactory, Monitoring tools and databases
• Implement and maintain infrastructure as code using Terraform and Ansible
• Take part in solving DevOps challenges in order to support and improve R&D Services and Delivery time
• Own end-to-end responsibility for DEV environments
• Maintaining R&D systems and issue, build self-services tooling and improve developer experience
• Test and integrate new technologies and tools (POC)
• Be in charge of integration with the CI team and workflows

If you have:

• At least 3 years of DevOps experience
• At least 2 years of experience with Linux
• Hands-on production experience with Kubernetes (deployment, operations, troubleshooting)
• Experience with Infrastructure as Code and configuration management tools (e.g., Terraform, Ansible, Helm)
• Experience with Jenkins and Groovy
• Experience with Docker and Docker compose
• Experience with monitoring and logging stacksuch as Prometheus, Grafana, ELK
• Expertise in Source control infrastructure (Git)
• Strong programming skills in one or more languages such as Python, Ruby, Go, Java or PowerShell or bash
• Hands-on in virtualization environments or Cloud platforms
• Strong problem-solving skills with a proactive, independent and hands-on approach

It would be great if you also have:

• Experience with GitOps workflows such as Argo CD
• Experience managing on-prem GPU-based infrastructure for AI/ML environments
• Experience managing and maintaining artifact repositories (Artifactory)
• Knowledge of networking fundamentals and methodology
• Sysadmin background