Software Engineer

MicrosoftRedmond, WA
4h

About The Position

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. We are looking for a Software Engineer to join our team!This role contributes to Microsoft Dataverse—a platform for securely storing and managing data at scale—and the microservices that power near real-time insights for data experiences in Microsoft Copilot Studio. The engineer in this role will help design, build, and operate services with a focus on reliability, performance, and observability. 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.

Requirements

  • Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python, OR equivalent experience.
  • 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.

Nice To Haves

  • Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) 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 with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python, OR equivalent experience.
  • 1+ years of industry experience in service development, successfully shipping services through multiple releases.
  • Experience creating AI-centric experiences, or familiarity with building AI orchestration systems.
  • Experience utilizing generative AI, conduct experiments, and evaluate AI effectiveness in product improvements.
  • Experience building scalable applications and services with Azure or other scalable cloud platforms with robust performance, resiliency, telemetry, and security.

Responsibilities

  • Collaborates with appropriate stakeholders to determine user requirements for a set of features and incorporates feedback into proposed solutions.
  • Contributes to the identification of dependencies and the development of design documentation for a product area with limited oversight.
  • Develops and implements code for a product, service, or feature, reusing code when appropriate and following engineering best practices.
  • Breaks down larger work items into smaller deliverables and provides estimates to support planning and execution.
  • Participates as a Designated Responsible Individual (DRI) in on-call rotations to monitor for degradation, downtime, or interruptions and supports restoration of service for straightforward issues per established processes.
  • Supports deployments that use intelligence from algorithm training by helping to create, apply, validate, and iterate on models integrated into real-world products, and assesses model performance.
  • Improves availability, reliability, efficiency, observability, and performance by staying current on relevant tools and practices and applying them to monitoring and operations at scale.
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