Senior Software Engineer - Fabric Graph

1 Month ago • 4 Years + • DevOps • $117,200 PA - $229,200 PA

Job Summary

Job Description

The Senior Software Engineer will lead development of core components for a scalable, cloud-based graph infrastructure (Fabric Graph) within Microsoft Azure Data. Responsibilities include designing, implementing, and optimizing distributed storage, networking, and service orchestration. The role requires expertise in high-performance compute, low-latency serving, and algorithm development. The engineer will define and implement observability metrics, analyze system performance, and contribute to large-scale data analysis. Collaboration with project managers and stakeholders is crucial for executing project plans and release schedules. The ideal candidate will have experience with graph database technologies and query languages like OpenCypher or Datalog.
Must have:
  • 4+ years experience in distributed systems
  • Experience in high-performance compute
  • Lead development of core components
  • Design, implement, and optimize cloud infrastructure
Good to have:
  • Experience with graph database technologies
  • Knowledge of query execution and optimization
  • Experience with OpenCypher or Datalog

Job Details

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 services and infrastructure. 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
  • 4+ years hands-on experience in development and operations of distributed systems, parallel processing or database systems as an individual contributor
    • OR equivalent experience
  • Demonstrated experience in high-performance compute, low-latency serving or algorithm development. 

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 

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

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:

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

 

 

 

#azdat #azuredata #graph #graphdatabase #cloudservices #cloudinfra #fabric #azure #graphdb #wearehiring #hiringnow 

Responsibilities

  • You will lead the development of core components for a scalable, cloud-based infrastructure, including distributed storage, networking, and service orchestration.
  • You will design, implement, and drive modularization, optimization, testing, reliability, and observability of cloud infrastructure components.
  • You will define and implement observability metrics, analyzing them to enhance system performance, reliability, and operational efficiency.
  • You will contribute to the collection, classification, and analysis of large-scale operational and system performance data.
  • You will guide the team in executing multi-group project plans, release schedules, and task prioritization in collaboration with key stakeholders (e.g., project managers).

 

Embody our and  

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