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. - Experience with Azure - At least 5 years of experience in a similar role; - Experience creating and/or maintaining production software delivery pipelines using github actions to deploy into Azure ( e.g. Managing github repo environments, environment protection rules, debugging github action workflows - Experience with Infrastructure as Code – Terraform - A good working knowledge and understanding of the following Azure components / resources: Azure networking (vnets, subnets, private endpoints), Azure blob storage (containers, retention policies, file transfers), Azure role assignments, Azure Key Vault, Managed identities - Solid scripting skills in Bash, Ansible, and PowerShell to automate tasks and manage infrastructure. - Proficiency in Azure cloud services, including Azure Monitor, Log Analytics, and Grafana Dashboards for monitoring and visualizing metrics - 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 Databricks 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.