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.
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