Software Engineer - Azure

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Team Description:

The Azure Support & Automation team is seeking a Software Engineer to develop and support scalable methods for building, deploying, and supporting Azure Infra & applications.  This is a highly collaborative role in which you will work closely with our Software and Infrastructure Engineers to deploy and operate our solutions; automate and streamline our processes; and build and maintain tools for deployment. This role is part of the Productivity Engineering organization that focuses on the Enterprise IT infrastructure. 

As a Software Engineer, you will play a pivotal role in the design & development of business processes, systems, applications, information, and data. While working on this team, you’ll get a chance to make key technology decisions, solve complex problems, and develop new skills in the process. You will be results driven and coaching teams to deliver Azure support & Automation at the highest levels of quality and craftsmanship. This position is full-time and based in our Bangalore office.  

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 

Basic Qualifications: 

• BTech/MTech/MCA or equivalent in Computer Science or related technical discipline. 

• 2+ years of experience in managing Azure, Cloud-focused software development in C#, Python, or other object-oriented programming languages 

• Experience in build and release engineering, including the creation of CI/CD pipelines, and the authoring of integration and unit tests 

• Experience in managing and deploying cloud-based resources via declarative cloud management languages (e.g. ARM, Ansible, Terraform) 

• Experience in software design and architecture 

• Experience with DevOps core concepts and Agile software development practices 

Preferred Qualifications: 

• Deep technical experience focusing on designing and implementing solutions for enterprise users and developers on Azure 

• Experience building infrastructure automation and cloud management platforms at scale 

• Experience building cloud-native, event-driven software for serverless infrastructures 

• Experience deploying and managing cloud-native infrastructure in Azure 

• Experience with microservice technologies, such as Service Fabric, Kubernetes, and their companion tools 

• Experience in Azure Tenant Migrations. 

• Experience with the Azure DevOps, GitHub Actions or comparable cloud-based Continuous Delivery platforms 

• Knowledge of GenAI and technologies used in the automation industry. 

Suggested Skills:  

• Microsoft Azure 

• Full stack development 

• Azure DevOps, GitHub Actions 

• Automation 

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