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 3 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.