Microsoft Senior Software Engineer 

United States, Washington 

793342318

. This is a world of, more innovation, more openness, and the skya cloud-enabled world.data platform for the age of Artificial Intelligence (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.

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 of experience with messaging products like Spark or Kafka.
• 1+ years of experience in designing distributed systems.

Other Requirements

Abilityto meet Microsoft, customer and/or government security screening requirementsarerequired 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

• 5+ years of development experience in C#, Java, C++, or C.
• 5+ years of experience in developing and shipping complex and scalable software systems, managing live site incidents.
• Design and problem-solving skills, with a

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until July 16, 2024.

• ​Build real-time data ingestion services which support millions of messages being processed per second with 99.999% 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.
• Support critical Azure applications where messaging services are the backbone components, such as event stream, data routing, AI and Machine learning (ML) workloads, and billing, telemetry and observability systems.
• Integrate with ecosystems such as: Internet of Things (IoT) applications, Apache Hadoop, Apache Spark, Azure Stream Analytics, Azure Functions, Logic Apps and AI/ML pipelines.
• Deliver Azure Messaging services to Public Cloud, as well as Hybrid environments.​

Embody our