Senior Software Engineering - Fabric Graph
Mountain View, California, United States
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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 Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture.
The Fabric Graph team is dedicated to simplifying the process of extracting insights from the vast scale of interconnected business data prevalent in every organization. We are driven by our goal to enable all users to visualize, analyze, and enrich the intricate relationships within their business data. Our team is focusing on developing advanced graph technologies that empower users to unlock the full potential of their data.
We are currently seeking a Senior Software Engineer who can define and implement our vision of scale-out graph indices and graph algorithms systems. This role is crucial in enabling large-scale graph analytics for data analysts, business users, and data scientists across all organizations.
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.
Qualifications
Required/Minimum Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
- 2+ years hands-on experience in development and operation of distributed systems, parallel processing or database systems as an individual contributor
- 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/Additional Qualifications
- Master's degree in Computer Science or related technical field.
- Working knowledge of graph high-performance compute, low-latency serving or algorithm development.
- Experience with non-relational or graph database development.
- Demonstrated experience with graph database query languages, e.g., OpenCyper, Datalog, GQL.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 and processes offers for these roles on an ongoing basis.
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Responsibilities
- Participate in the development of the core database index, query planning and execution, and language development stack.
- Analyze tradeoffs and prioritize tasks related to development, modularization, optimization, testing, repairability, and observability of core system components.
- Implement appropriate observability metrics and analyze these metrics to improve decision-making quality.
- Contribute to the collection, classification, and analysis of complex data.
- Coordinate with leads across multiple group project plans, release plans, and work items, ensuring alignment with appropriate stakeholders (e.g., project managers).