Staff software engineer – azure

1 month ago

Bengaluru, India LinkedIn Full time
Linked In was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.
This role will be based in Bangalore, India.
At Linked In, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a Linked In office, depending on what’s best for you and when it is important for your team to be together.
Searching for your dream job? At Linked In, we strive to help our employees find passion and purpose. Join us in changing the way the world works.
The Azure Support & Automation team is seeking a Staff 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 Staff 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.
Responsibilities:
Key contributor to automation, tooling, and continuous delivery services for Azure infrastructure used by Linked In’s internal enterprise IT organization and its internal customers
Software contributor to your team in a Dev Ops-oriented, cloud-focused systems and infrastructure engineering organization
Produce high quality, build and deployment software that is unit tested, reviewed, and continuously integrated
Manage individual project priorities, deadlines, and deliverables related to your technical expertise and assigned domains
Mentor and train other team members on coding standards, CI/CD, and infrastructure architecture related to your technical expertise and assigned domains
Participate and manage 24x7 team on-call rotation, and be available to work with global teams in the event of critical outages
Basic Qualifications:
BTech/MTech/MCA or equivalent in Computer Science or related technical discipline.
10+ 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 Dev Ops 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 Dev Ops, Git Hub Actions or comparable cloud-based Continuous Delivery platforms
Knowledge of Gen AI and technologies used in the automation industry.
Suggested Skills:
Microsoft Azure
Full stack development
Azure Dev Ops, Git Hub Actions
Automation
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