Senior Software Engineer

Are you looking to make a real difference in Microsoft’s mission to empower every person and organization to achieve more, with the power of cloud computing? Do you want to work at the forefront of Cloud Computing to design, deliver & operate cloud-scale systems that are the foundation of the World’s Computer which is Azure? Do you want to be part of a highly motivated and passionate team that works together to do what it takes for our customers to be successful while having fun and learning along the way?

Azure Core is Azure's most profitable business and growing incredibly fast! We, the Azure Core Compute team, pride ourselves in working without boundaries to deliver the cloud platform capable of running any customer application/workload.
As the owners of the platform that runs such a diversity of applications, we need to guarantee QoS for our customers. Metrics like uptime/availability/reliability and service performance take on a new meaning at the scale we operate. Our customers want 5 +’s+ of availability, transparent maintenance & updates to their systems, resiliency of their workloads despite H/W and system failures that happen all the time in the datacentre, ability to deploy & dynamically scale large number of VMs/containers reliably.
Ensuring the QoS at scale requires us to architect and build systems across all layers and we work on architectural improvements across the entire Azure Core stack to achieve the SLAs, along with turning our incredibly rich and big data into strategic assets that will drive business and engineering goals and efforts.
As a member of our team, you will be helping build tools and analytics purposed at improving the availability and reliability of Azure Compute resources as well as other top level KPIs of the Azure Compute business. We’re looking for full stack developers with an emphasis on Data Engineering and Machine Learning. The ideal candidate should have a passion around turning data into meaningful analytics that impact the business. As a member of our team, you would be helping to analyze causes of interruptions/degradations to Azure VM/Container workloads and deliver metrics as well as insights to executive leadership to inform overall Azure strategy and directly to customers to improve their satisfaction of Azure and to the product developers for improving the platform. If you’ve dreamed of having global impact and love working with data to create huge business value, come talk to us today!
Responsibilities
We are an agile team that emphasizes teamwork and collaboration. Team members are expected to:
Share accountability of a wide array of assets and be comfortable with learning a broad array of technologies.
Contribute towards driving visibility into customer impacting events on Virtual Machines or Containers or higher-level Azure services built on top of Virtual Machines.
Assist with building an automated data quality solution to detect problems in downstream dependencies and take automated action to correct them.
Help design and build experiences and analytics on top of the data engineering work we do focused on driving measurable value to the Azure Compute business such as issue detection, root causing, fast attribution, input for mitigations, etc.
Look for opportunities to share learnings and tools broadly within Microsoft and beyond. Specifically, our team does cutting-edge work with Azure Data Explorer (Kusto) and makes a point at contributing back to the larger environment.
Qualifications
Required Qualification:
6+ years of experience in commercial software development.
3+ years of experience in writing maintainable code in C#, Java, or other object-oriented language.
Bachelor’s degree in Computer Science, Computer Engineering, Math or equivalent industry experience.
Experience in designing, developing, deploying, and operating reliable systems preferably with experience in distributed systems fundamentals.
1+ years of experience working with Azure Data Explorer or SQL.
1+ years of experience in map reduce based data processing platforms.
Preferred Qualification
Experience building Machine Learning models.
Basic network knowledge (concepts such as TOR/ LB/Vnet/ VLan etc).
Experience with Agile work processes and tools.
Azure subscriptions and resource management (ARM APIs).
Experience with serverless architectures and other cloud architectural patterns.
Experience with web development.

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, *** (including pregnancy), ****** orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

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