Software Engineer

About the Role

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 in 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 Microsoft Fabric, the Data Integration team enables organizations to connect, move, and shape data across their entire data estate.

The Azure Messaging team builds and operates the infrastructure behind Azure Event Hubs and Azure Service Bus, enabling customers around the world to stream events and reliably connect applications.

We are looking for a Software Engineer to help make this platform easier to deploy, operate, and scale. You will develop software and automation for cluster provisioning, safe upgrades, fleet health, and capacity management. You will also improve the engineering systems our team uses every day - from deployment pipelines and automated validation to diagnostics and developer tooling. Working alongside experienced engineers, you will own well-defined projects from implementation through testing and deployment. You will have opportunities to contribute to new region and cloud buildouts, evaluate emerging Azure infrastructure, and develop capabilities such as cluster autoscaling.

This role combines software development with hands-on experience operating distributed cloud services. Your contributions will reduce manual effort, improve reliability, and help the platform grow safely.

Key Responsibilities

• Develop and maintain software for cluster provisioning, configuration, upgrades, and lifecycle management.
• Build automation and self-service tooling that simplify recurring operational workflows and reduce manual intervention.
• Improve deployment pipelines, automated tests, release validation, diagnostics, and developer workflows.
• Use telemetry and debugging tools to investigate failures, identify root causes, and implement lasting improvements.
• Contribute to fleet health, capacity management, free-pool optimization, and cluster autoscaling.
• Support new region and cloud deployments and help validate new compute, storage, and Service Fabric capabilities.
• Collaborate with experienced engineers and partner teams to design, test, deploy, and support scoped features.
• Document solutions, participate in code reviews, and apply secure and reliable engineering practices.
• Embody Microsoft's culture and values.

Requirements & Tech Stack

• Strong foundations in data structures, algorithms, object-oriented programming, and asynchronous programming.
• Experience developing and debugging software in C#, Java, C++, Python, or a comparable language.
• Familiarity with a cloud platform such as Azure, AWS, or Google Cloud.
• Interest or experience in infrastructure automation, deployment pipelines, automated testing, or developer tooling.
• Ability to use logs, metrics, and experiments to investigate problems and evaluate solutions.
• Clear communication, collaborative problem-solving, and willingness to learn unfamiliar systems.
• Familiarity with distributed systems, messaging services, or infrastructure lifecycle management is helpful, but not required.

Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Additional Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements.
• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.