The Azure Network Monitoring team is looking for highly motivated and talented engineers to engineer and implement state-of-the-art services that provide insights into the networking stack for one of the biggest networks in the world.
Monitoring and insights over real-time telemetry is a key investment area for Azure and the Network Monitoring team is building automated systems that can detect and provide insights at all layers of the Network for all our customers. As can be imagined, this also involves working with some of the largest data sets imaginable and we are looking for skilled Software Engineers who want to grow in some of the most complex and challenging spaces.
The complexity of the problem space means we are looking for people that are comfortable working with large data, high throughput, real-time systems. We are developing algorithms that work at scale to identify network issues and anomalies as they happen so great coding skills in an object-oriented programming language and basic distributed system design is expected. Familiarity with Machine Learning techniques and other data mining and data insight techniques and /or understanding of the ISO / OSI Networking stack and some knowledge of network protocols would be desirable.
In this role you will be responsible for critical components of the network monitoring solution. This will include owning components from design through to deployment and operations. This is a high visibility position in an area of large and expanding investment for Microsoft Azure and offers a terrific opportunity for technical and career growth.
A Successful Candidate Will Bring- Experience with real time data analysis
- Experience with machine learning and other data mining techniques
- Some Knowledge of networking and Network protocols
Requirements- 3 years of software development experience in a distributed systems environment.
- BS or MS or PhD degree in Computer Science or Computer Engineering
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Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.