About The Position

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 messaging and real-time analytics team provides comprehensive solutions and a robust platform that enables users to ingest high granularity signals (real-time & observability) and complex data, converting those into a competitive advantage in real-time for both end users and modern applications. ​ ​​​​The Fabric Graph team offers engineers a unique opportunity to be at the forefront of graph technology innovation, building and owning a world-class service as a zero-to-one development for Microsoft Fabric. The team leverages the latest advancements in graph technology at scale, enabling engineers to develop complex systems that can process billions of data points for analysis. This is a rare opportunity to build highly scalable, reliable, and resilient cloud services, working on areas such as distributed infrastructure, cloud storage, networking, performance optimization, and scalability. The team fosters a dynamic and collaborative environment where creativity and growth are highly encouraged. Engineers work alongside passionate professionals dedicated to pushing technological boundaries. By joining our team, engineers can make a significant impact on the future of data connectivity, helping businesses unlock the full potential of their data to drive innovation. Our culture is supportive and inclusive, ensuring every team member feels valued and empowered to contribute their best work​ ​​We are building a scale-out graph engine for Fabric, designed to store billions of graph data points extracted from OneLake. Scaling our system is a key priority, ensuring compatibility while developing a new service from scratch with world-class scale, reliability, and resilience. This is a zero-to-one development effort at Microsoft.​ ​​ 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 field AND 2+ years technical engineering experience with coding in languages including, but not limited to C#, Java, or Python OR equivalent experience.

Nice To Haves

  • Preferred demonstrated experience in designing, developing, and maintaining large-scale cloud infrastructure and distributed services.
  • Preferred experience with graph database technologies and query languages, such as OpenCypher or Datalog, in a cloud-based infrastructure.
  • Preferred knowledge of query execution, workload optimization, and performance tuning in distributed database systems and cloud infrastructure

Responsibilities

  • Lead the development of core components for a scalable, cloud-based infrastructure, including distributed storage, networking, and service orchestration.
  • Design, implement, and drive modularization, optimization, testing, reliability, and observability of cloud infrastructure components.
  • Define and implement observability metrics, analyzing them to enhance system performance, reliability, and operational efficiency.
  • Contribute to the collection, classification, and analysis of large-scale operational and system performance data.
  • Guide the team in executing multi-group project plans, release schedules, and task prioritization ​
  • Embody our culture and values
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