Deloitte hiring graduates for Business Technology Analyst- DevOps Developer role freshers can Apply Don’t miss this opportunity apply Fast!

Job Description

Company Name :-

Deloitte

Designation / Position :-

Business Technology Analyst- DevOps Developer

Type :-

Full-Time

Location :-

Hyderabad, India

About the comapny :-

At Deloitte, we value our people and work to build an inclusive culture, where our people are encouraged to bring their authentic selves to work. Our commitment has led to outstanding results in terms of attracting, retaining, and advancing a diverse workforce. We drive multiple efforts focused on intentional hiring, increasing awareness and sensitization, and ensuring a safe work environment for all professionals. We are regularly recognized as an employer of choice across a range of aspects, including inclusion, well-being, innovation, leadership, and a place to start your career. To learn more, check out our latest accolades.

Qualification :-

Any Degree

Experience:-

Freshers

All Details:-

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 EngineerSkills 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. Qualification- B Tech/ BE/MTech/MCA Computer ScienceLocation- Hyderabad

Key Details:-

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.

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