Azure Engineer / Azure DevOps Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

An Azure Engineer with DevOps experience is a professional who specializes in designing, implementing, and managing the development and deployment processes using Microsoft Azure and DevOps principles. They have a deep understanding of Azure services and tools, as well as expertise in implementing CI/CD pipelines, infrastructure automation, and monitoring and troubleshooting applications and infrastructure. They are skilled in using Azure DevOps tools like Azure Pipelines, Azure Resource Manager (ARM) templates, and Azure Monitor.

Core Responsibilities:

• Design, architect, and implement scalable and reliable cloud solutions on the Azure platform, leveraging a variety of Azure services and technologies.
• Collaborate with cross-functional teams to gather requirements, define architecture designs, and develop technical solutions that meet business objectives.
• Lead the implementation of CI/CD pipelines using Azure DevOps, automating build, test, and deployment processes for cloud-native and hybrid applications.
• Define infrastructure as code (IaC) using ARM templates, Terraform, or other relevant technologies to ensure consistency, repeatability, and scalability in deployments.
• Conduct architecture reviews, provide technical guidance, and mentor team members on best practices for Azure cloud architecture and DevOps methodologies.
• Stay updated on emerging Azure technologies, trends, and best practices, and continuously evaluate and recommend new solutions to enhance our cloud capabilities.

Key Skills and Experience:

• Demonstrate knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability).
• Hands-on experience on provisioning and configuring IaaS and PaaS services like virtual machines, app services, databases, storage account, virtual network, function app, data factory, key vault, service bus, event grid, databricks etc.
• Expertise with Infrastructure as Code automation tools and languages (Terraform, ARM, PowerShell, etc.) is highly desired.
• Demonstrate knowledge of Azure DevOps and setting up CI/CD pipelines.
• Experience with setting up Logging and Monitoring solutions using Log Analytics workspace, App Insights and Azure Monitor.
• Understanding of Windows and Linux Server architectures.
• Experience with containers (Docker) and orchestration (Kubernetes) technologies.
• Familiar with one or more server-side scripting languages (e.g. PowerShell, Python, Bash).
• Understanding of concepts like High Availability, Clustering, Failover and Disaster Recovery in the Cloud.
• Understanding of application layer protocols, such as HTTP/S, TCP/IP, UDP and Web sockets.
• Demonstrated abilities with SSO-related software such as ADFS, Ping Identity, OpenSSO, oAuth, Okta or other SAML & OpenID Connect providers.
• Understanding of Web application security and concepts, such as Ticketing, header injection, XSS, SSL, HTTPS, Kerberos, certificates, Active Directory, LDAP, reverse proxies and firewalls.

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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.