You might be our missing piece if you have:

• Expertise in CI/CD pipeline development using tools like Azure DevOps, Jenkins, GitHub Actions, ArgoCD, Atlantis or equivalent, enabling smooth application deployment for containerized, microservices-based systems.
• At least 4 years of experience in a similar role;
• Hands-on experience with Kubernetes (AKS) for deploying and managing containerized applications, alongside proficiency in Docker and Helm charts.
• Familiarity with IaC tools, especially Terraform, for managing and configuring cloud infrastructures.
• Solid scripting skills in Bash, Ansible, and PowerShell to automate tasks and manage infrastructure.
• Experience with cloud platforms (e.g. Azure, AWS, GCP).
• Proficiency in Azure cloud services, including Azure Monitor, Log Analytics, and Grafana Dashboards for monitoring and visualizing metrics.
• Proven experience in collaborating across development and QA teams to ensure seamless code integration and deployment.
• Ability to troubleshoot complex issues in a distributed environment.
• Excellent communication skills and a collaborative mindset.
• Ability to understand and present complex ideas to stakeholders.
• Passion for continuous learning and staying updated with industry trends.
  

We would be thrilled if you have:

• Experience with the specifics of AI projects.
• Familiarity with Data Bricks
  

We will be working together on:

• Developing, managing, and maintaining CI/CD pipelines using Azure DevOps, enabling continuous integration and deployment for containerized applications.
• Building, deploying, and scaling Kubernetes-based applications using Helm charts on Azure Kubernetes Service (AKS).
• Configuring and managing cloud infrastructure using Terraform, ensuring scalable and secure environments for clients.
• Implementing monitoring and logging solutions with Azure Monitor, Log Analytics, and Grafana Dashboards to track system performance and application metrics.
• Collaborating closely with cross-functional teams, including development and QA, to deliver efficient and reliable code deployment.