About The Position

Overview Job Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. The App and Data Development team within Microsoft Fabric is dedicated to empowering both application and data developers with cutting-edge tools and seamless experiences. Focused on the integration of AI across the development lifecycle, this team builds intelligent capabilities that simplify and accelerate app and data workflows. By offering unified interfaces, robust APIs, and AI-assisted features, the team ensures that developers can easily create, manage, and scale data-driven applications within the Microsoft Fabric ecosystem. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Requirements

  • Bachelor's Degree in Computer Science, or related technical discipline
  • OR equivalent experience
  • Proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • 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.
  • Experience in developing services with Containers, Serverless functions and Databases is preferred
  • Cross-team collaboration experience for feature delivery and livesite issues preferred
  • Full stack development for end-to-end feature design and development experience preferred
  • Developer and user experiences for SaaS applications experience is preferred

Responsibilities

  • Design and implement services to enable real time, highly scalable, performant, and sustainable solutions.
  • Deliver well-tested features across different services and platforms.
  • Use engineering best practices throughout the software development lifecycle to establish maintainable, reliable, and secure systems.
  • Collaborate with teammates in various roles to plan and execute on key deliverables.
  • Participate in rotating livesite shifts, working on call to monitor system/product feature/service for degradation, downtime, or interruptions.
  • Take ownership of service health including monitoring, metrics, telemetry. Identify and implement areas for improvement in the live-site process and tools.
  • Innovate for both customer use cases and overall health of the service.
  • Work in a culture of continuous improvement, adaptation, reflection, and growth.
  • Embody culture and values
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