DevOps Infrastructure Engineer

Alongside the strong evolution of our IT landscape, we’re looking for a DevOps Infrastructure Engineer to reinforce and develop our DevOps services throughout the company. You will be responsible for the core setup and managing different tools as well as translating the business requirements into implementation. You will work in close collaboration with business stakeholders and IT management to establish and deliver consistent technical direction and identify opportunities to improve and use new technologies.

What you will do

• Provide operational ownership for our DevOps tools (MS Azure DevOps, JFrog Artifactory, and SonarQube)
• Review, suggest, and implement improvements to legacy on-premises and in-cloud (SaaS) DevOps processes
• Support and direct existing DevOps teams in using best practices of our current toolset for DevOps infrastructure
• Design future architectural landscape for current DevOps infrastructure
• Translate business and regulatory requirements into IT requirements and implementation actions
• Communicate to technical and business stakeholders

Your profile

Requirements to provide services to our business stakeholders

• Strong knowledge of MS Azure DevOps Pipeline, Ansible, and Terraform
• Experience utilizing binary storage systems like JFrog Artifactory

Required experience

• Experience in a similar field, minimum 3 — 5 years
• Experience setting up and managing CI/CD pipelines to automate the process
• Deep knowledge of version control systems like Git, etc.
• Knowledge of networking concepts and security practices
• Experience in scripting languages like Bash, Python, or PowerShell and familiarity with programming languages like C# (.NET)
• Experience with on-premises Windows (Hyper-V) and Linux OS administration
• Familiarity with IAC principles and proficiency in tools like Terraform
• Experience with cloud platforms like Amazon Web Services (AWS)
• Experience with microservices architecture and the challenges of deploying and managing microservices-based applications
• Basic knowledge of databases (MS SQL, PostgreSQL)
• Experience with monitoring tools like Datadog, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk