Software Engineer II - Distributed Systems

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 intelligence 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.

Are you passionate about building highly scalable, reliable cloud services that power critical applications around the world? Do you thrive in a fast-paced environment where innovation, collaboration, and data-driven thinking are core to how work gets done?

The Azure Messaging team is hiring a Software Engineer II to help shape the next generation of our platform and control plane infrastructure. Our services handle tens of thousands of requests every second with low latencies, acting as the reliable backbone for customers across the globe. We're looking for dedicated, creative distributed systems engineers who are passionate about solving complex problems at scale.

In this role, you’ll work on high-impact components that serve as the entry point for Azure Messaging services. Your work will be central to how customers configure and interact with our platform. You will design, implement, and operate core components of large-scale distributed systems that power Azure messaging services. You will work on well-scoped problems, contribute production-ready code, and collaborate closely with senior engineers to deliver reliable and scalable solutions.

Beyond the core platform, the team applies its deep messaging expertise to power strategic scenarios in Microsoft Fabric — a completely managed SaaS offering. We enable the seamless ingestion, transformation, and cataloging of streaming data, helping customers unlock real-time insights with minimal operational overhead.

This is a unique opportunity to be part of a team that operates at the heart of Azure’s messaging stack, where your contributions will directly influence the growth and reliability of the platform while enabling new experiences across Microsoft’s data ecosystem.

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.

Responsibilities

• Design and implement high-quality, scalable, and resilient components of distributed systems based on defined requirements and architectural guidance.

• Translate design specifications into clean, extensible, and maintainable code that meets performance, reliability, and security expectations.

• Continuously improve existing code through debugging, refactoring, and performance optimization to increase reliability and operational efficiency.

• Apply engineering best practices, metrics, and testing strategies to ensure code quality and long-term maintainability.

• Participate in code reviews by providing thoughtful feedback and incorporating feedback from peers to uphold team and Microsoft engineering standards.

• Collaborate with teammates, program managers, and partner teams throughout the development lifecycle, including planning, implementation, deployment, and live-site support.

• Contribute to the messaging infrastructure that supports event notification, asynchronous communication, telemetry, and diagnostics across Azure services.

Embody our culture and values under Job Responsibility

Qualifications

Required/Minimum Qualifications

• 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, C++, C#, Java, JavaScript, or Python

• OR equivalent experience

• 1+ year experience with distributed messaging systems such as Azure Service Bus, Apache Kafka, RabbitMQ, Google Pub/Sub, or SQS/Kinesis or experience with stream processing or real-time data platforms such as Apache Spark, Flink, Storm, or similar frameworks

Job Requirements: Other & Additional

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 AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience

• Experience designing, implementing, testing, and debugging software components in a large codebase.

• Working knowledge of distributed systems fundamentals including concurrency, fault tolerance, data consistency, and performance considerations.

• Experience with code reviews, version control systems, and automated testing practices.

• Ability to collaborate effectively with teammates and partner teams across the development lifecycle.

• Experience building or operating cloud services, preferably on Azure or another large-scale cloud platform.

• Familiarity with messaging, event-driven systems, or asynchronous communication patterns.

• Experience with service reliability concepts such as monitoring, alerting, on-call rotations, and live-site troubleshooting.

• Exposure to performance profiling, capacity planning, or cost optimization in production systems.

• Understanding of security best practices for cloud services, including authentication, authorization, and secure coding practices.

#azdat #azuredata

Software Engineering IC3 - The typical base pay range for this role across Canada is CAD $85,800 - CAD $169,300 per year.

Find additional pay information here: https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Software Engineering IC3 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 85,800 $ CAD à 169,300 $ CAD par année.

Pour plus d'information au sujet de la rémunération, veuillez cliquer ici: https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.