Software Engineer II

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Do you want lead the effort of enabling millions of Microsoft Azure Customers and Partners by delivering key insights on big data? Do you want to solve challenges that you didn’t even know existed until you get to a large scale of data? What about working directly with engineering counterparts and assorted business teams to influence how azure products, services, and business plans within Azure are operationalized and monetized?

The goal of Azure Cost Management Data team is to foster a data-driven culture, to encourage and enable the azure customers and partners to make more informed decisions through data. As part of that work, team develops and operationalizes the high scale data platform that enables Microsoft customers to realize and manage cloud costs and partner teams to operationalize their goals. As the volume of data-and the demand for solutions-grows, we need an exemplary Software Engineer II who can help deliver and manage these data solutions.

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.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, Scala or Python.
  • OR equivalent experience.
• 2+ years’ Experience with Big Data or Stream-processing platform.
• Good Coding and design skills (C#, Java, Scala, Hadoop, Spark, PySpark); Experience in Spark is preferred.
• Experience with schema design and dimensional data modeling.
• Ability to deal with the ambiguity associated with working in a fast-paced and changing environment with attention to details and the drive for results.

Other Requirements:

• 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:

• Bachelor's Degree in Computer Science
  • OR related technical field AND 5 years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
  • OR Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with distributed systems and a cloud technology stack such as Azure or AWS.
• Experience in working on big data pipelines such as Cosmos, Kusto, Azure Data Factory, Synapse, HDInsight etc. or similar technologies would be a plus.
• Experience with pricing models and cost estimation tools in cloud platforms.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay.

Microsoft will accept applications for the role until November 19th, 2025.

#azurecorejobs

• Design and develop reliable and scalable big data platform and Storage solutions at large scale, and support sub second query response.
• Influence and Collaborate across teams to bring best practices, architectures, standards, and methods for large-scale distributed systems, throughout the development cycles.
• Ensure high performance, reliability, and scalability of services used by millions of users globally.
• Drive engineering excellence through code reviews, automated testing, and continuous integration.
• 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.