Software Engineer II

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Azure is the fastest-growing business in Microsoft’s history and is the foundation of Microsoft’s commercial Cloud Services. Azure differentiates itself as the only hyper-scale, enterprise-grade Cloud that has a true hybrid story.

Building on Azure’s success as a horizontal platform, we, as part of the Azure Core organization, are leading the transformation in the Energy sector, currently focused on the Oil and Gas industry. We partner with customers, independent software vendors (ISVs), and solution providers to deliver business-critical platforms and services for this multi-billion-dollar industry. The Energy team is innovating across the Azure platform and services—including data ingestion, search, managed offerings of the open-source Open Subsurface Data Universe (OSDU) via Azure Data Manager for Energy, high-performance computing (HPC), and artificial intelligence/machine learning (AI/ML)—to bring differentiated value to this market segment.

We seek candidates who are curious, to help us create products that customers love in a nascent and hyped market. Experience handling ambiguity and experimentation would be highly valued. Candidates must have demonstrated collaboration skills to work constructively across functions, groups, and time zones to solve customer problems. Finally, we seek candidates who will contribute to a positive culture, where all members of the team can do their best work, creating an advantage out of our diverse backgrounds, styles, and skill sets.

The product portfolio will consist of multiple layers in the cloud stack, both built from scratch as open source and built as proprietary extensions to Microsoft’s existing platforms.

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, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

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 4+ 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 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

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• 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.
• Take Initiatives to improve productivity by leveraging various advancements in AI.