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About Deloitte:
Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the “Deloitte” name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting.
Role 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.
Responsibilities:
- 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.
Requirements:
- 0-2 Years as Devops Engineer
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.
Eligibility Criteria:
1)B Tech/ BE/MTech/MCA
2)Experience: 0 to 2 years
Location: Hyderabad