Software Engineer 2 - Azure Specialized
Microsoft
Software Engineer 2 - Azure Specialized
Multiple Locations, Serbia
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Overview
Azure Dedicated Networking team is a fast growing team chartered to integrate mission critical workloads with Azure. Workloads we have shipped included Azure NetApp Files, Azure VMWare Service, Cray Supercomputer, Dedicated HSM, SAP Hana, and many more that are in the roadmap. We provide end-to-end networking solutions in Azure to integrate with non-cloud-ready hardware and enable new services to our customers. It is a highly impactful team with strong growth opportunity. If you are passionate about working on the latest and hottest areas that will help you develop skills in Networking and Cloud Platforms, this is the team you are looking for! By joining this team, you will gain valuable experience in service-oriented network architectures and datacenter networking at large scale. Join our team where reliability meets innovation. We build and scale resilient systems, automate everything we can, and ensure world-class uptime for our customers. If you're passionate about infrastructure, performance, and solving complex engineering challenges, we want to hear from you.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience in DevOps, SRE, or software/systems engineering roles.
- Proficiency with CI/CD tools (e.g., Azure DevOps )/ Git-based workflows/scripting frameworks.
- Proven experience operating Azure SDN technologies and managing SDN appliances in production, with hands-on involvement in datacenter recovery and Azure control plane troubleshooting.
Other Qualifications:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Understanding of TCP/IP and and data center networking.
- Experience with monitoring/logging platforms and Strong problem solving and software troubleshooting skills.
- Understanding of system performance, incident response, and troubleshooting in production environments.
- Experience and knowledge working with databases such as SQL / KQL etc.
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Responsibilities
- Works with appropriate stakeholders to determine user requirements for a set of features.
- Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
- Creates and implements code for a product, service, or feature, reusing code as applicable.
- Contributes to efforts to break down larger work items into smaller work items and provides estimation.
- Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
- Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.