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About Company :
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we.
Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.
Job Description :
As a member of the back-end team, you will contribute to the development and enhancement of cloud-native software solutions for Deloitte Tax & Legal Germany. In this entry-level role, you will focus on building Python-based back-end components that are efficient, maintainable, and aligned with best practices.
We are looking for a motivated DevOps Engineer with 0-2 years of experience to join our team. The ideal candidate should have a foundational understanding of Azure cloud services, including Gen AI services, and hands-on experience with DevOps tools like Jenkins, Azure DevOps, and artifact management. This role will focus on automating deployments, managing Kubernetes clusters (AKS), and optimizing containerized applications while ensuring system reliability and security.
Role & Responsibility :
- Develop and maintain CI/CD pipelines using Jenkins and Azure DevOps.
- Work with Azure services, including Gen AI services,Storage, Networking, and App Services.
- Deploy and manage containerized applications on Azure Kubernetes Service (AKS).
- Create, optimize, and debug Docker files for efficient containerized application deployment.
- Develop, maintain, and deploy applications using Helm Charts for Kubernetes.
- Manage artifact repositories and streamline package management workflows.
- Configure AKS monitoring and logging using tools like Azure Monitor, and Log Analytics workspace.
- Implement and manage networking in AKS, including ingress controllers, service discovery, and network policies.
- Troubleshoot and debug containerized applications, deployment failures, and infrastructure issues.
- Collaborate with development teams to enhance automation, scalability, and performance.
Skills Required:
- Cloud Platforms: Azure (including Gen AI services, Storage, Networking, App Services).
- CI/CD Tools: Jenkins, Azure DevOps.
- Kubernetes: Azure Kubernetes Service (AKS), Helm.
- Containerization: Docker, Dockerfile creation & debugging.
- Artifact Management: Azure Artifacts, JFrog.
- Monitoring & Logging: Azure Monitor,Log analytics
- Networking: Kubernetes networking, ingress controllersnetwork policies.
- Scripting: Python.
- Troubleshooting: Debugging containerized applications, analyzing logs, and resolving deployment issues.
TCS Research Biggest hiring announced
Requirements:
- 0-2 Years as Devops Engineer
- Qualification– B Tech/ BE/MTech/MCA Computer Science
