Azure Messaging Team – Senior Software Engineer

1 Hour ago • 8 Years + • DevOps

Job Summary

Job Description

Microsoft's Azure Data engineering team seeks a Senior Software Engineer for its messaging and real-time analytics team. The role involves improving performance, reliability, and scalability of messaging services, building real-time data ingestion systems handling millions of messages per second with 99.99% availability, and developing highly reliable distributed storage systems. Responsibilities include integrating with various ecosystems (IoT, Azure Serverless, Hadoop, Spark, Stream Analytics, Synapse), owning product development end-to-end, and triaging/solving service issues. The ideal candidate possesses 8+ years of experience in software engineering with proficiency in languages like C, C++, C#, Java, JavaScript, or Python and experience with distributed systems.
Must have:
  • 8+ years experience in software engineering
  • Proficiency in C, C++, C#, Java, JavaScript, or Python
  • Experience with distributed systems
  • Build and maintain high-availability messaging systems
  • Handle millions of messages per second
Good to have:
  • Experience leading projects
  • Experience with Azure Service Fabric
  • Experience with IoT applications
  • Experience with Apache Hadoop and Spark

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 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.   

​​Azure Messaging Team is hiring a Senior Software Engineer to join our team to help us tackle the new challenges we face as we strive to further scale our services. We are highly collaborative, data-oriented, and greatly value diversity of thought and ideas.   

 

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

Bachelor's Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 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 

    Preferred demonstrated experience with distributed system, handling customer growth. 
    Preferred demonstrated experience in leading projects and taking it to completion.

#azdat 

#azuredata 

#azdat #azuredata #messaging #eventhub #servicebus  

 

Responsibilities

Provide leadership in improving the performance, reliability and scalability of the messaging services.   
 
Build real-time data ingestion services which support millions of messages being processed per second with 99.99% service availability.   
 
Build highly reliable distributed storage systems which support low latency/high throughput for ingestion, relying on cutting edge technologies like Azure Service Fabric.    
 
Integrate with ecosystems such as: IoT applications, Azure Serverless, Apache Hadoop, Apache Spark, Azure Stream Analytics, Azure Synapse.   
 
Owning the products and driving them end to end, all the way from gathering requirements, development, testing, deployment to ensuring high availability post deployment.   
 
Triaging issues and implementing solutions to restore service with minimal disruption to the customer and business. Perform root cause analysis, trend analysis and post-mortems.

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