Software Engineer: Azure Storage

Microsoft

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About The Position

Come build community, explore your passions, and do your best work at Microsoft. At Microsoft, we are a company of learn‑it‑alls rather than know‑it‑alls, with a culture centered on growth mindset, inspiring excellence, and empowering teams to do their best work every day. As a Software Engineer on the Azure Storage team, you will help build the core systems that power one of Azure’s most critical cloud infrastructure pillars. Azure Storage delivers scalable, secure, and highly reliable storage solutions that handle massive volumes of data for customers worldwide, supporting services such as Azure Blob Storage, Disks, Elastic SAN, Azure Files, Azure Managed Lustre, and Data Box, along with integrations across Azure Databricks, Azure NetApp Files, and Azure Data Manager for Energy. You’ll develop software at the system layer of Azure, working on backend and distributed storage systems that must meet demanding requirements for latency, IOPS, throughput, cost efficiency, and availability. Your work will involve designing and implementing extensible, maintainable code that runs at global scale, ensuring storage services remain secure, reliable, and performant. In this role, you’ll collaborate with stakeholders to define feature requirements, incorporate feedback from multiple channels, and contribute to testing and quality strategies. You’ll apply debugging tools, logs, and advanced telemetry to proactively identify and resolve issues in complex distributed systems. This opportunity provides exposure to cloud infrastructure, distributed storage and file systems, networking technologies, and emerging applications of AI and LLMs within large‑scale platforms. You’ll learn best practices for scaling critical services while ensuring high standards of security, privacy, safety, and accessibility—all while building foundational technology that enables Azure customers to achieve more. 🔗 Learn more about Azure storage and cloud infrastructure: What is Azure? Browse Azure Architectures – Azure Architecture Center

Requirements

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

Nice To Haves

• Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, Go, or Rust, OR 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++, Go, or Rust, OR equivalent experience.
• Academic or professional experience with cloud computing, distributed systems, and/or systems programming, including familiarity with Linux or Windows environments.
• Exposure to multi-threading, concurrency, and/or performance‑focused development.
• Understanding of core computer science fundamentals (e.g., data structures, algorithms, operating systems, networking), and familiarity with tools like Git, debuggers, and/or telemetry/monitoring systems.
• Interest or experience in system-layer storage technologies, backend infrastructure, and/or emerging applications of AI/LLMs in cloud services.

Responsibilities

• Learns to review and break down work items into actionable tasks in collaboration with stakeholders, provides estimates, and escalates risks or delays as needed. Supports feature deployments across Azure Storage services, considering customer impact and adhering to best deployment practices for safety and reliability.
• Collaborates with cross‑functional partners to define feature requirements and incorporate feedback into design iterations. Establishes feedback loops using customer metrics and telemetry to drive continuous improvement across distributed storage systems and backend services.
• Learns and applies coding standards and engineering best practices through code reviews, developing maintainable and extensible system‑level code with guidance. Implements code for products, services, or features that operate at scale, reusing existing components where applicable.
• Uses debugging tools, logs, and telemetry to proactively and reactively identify and resolve issues in system‑layer and backend storage services. Contributes to improvements in latency, IOPS, throughput, cost efficiency, and overall service reliability.
• Supports the identification and documentation of dependencies for product features, gaining exposure to storage architectures, distributed file systems, and backend service interactions. Contributes to architectural discussions and technical validation efforts, including testing hypotheses and integrating automation.
• Participates in quality assurance activities by augmenting test cases and supporting automation, while learning how security, compliance, and reliability requirements influence the design and operation of large‑scale storage systems.
• Contributes to data analysis and feedback integration for engineering decisions. Participates in live service operations and acts as a Designated Responsible Individual (DRI) to help monitor services and support restoration of functionality within defined SLA timeframes for scoped scenarios.
• Develops and applies best practices for building scalable and secure infrastructure systems. Learns about global and local regulatory requirements, customer scaling needs, and cross‑team collaboration required to operate storage services at Azure’s global scale.
• Ensures solutions meet Microsoft standards for security, privacy, safety, and accessibility. Leverages developer tools and automation in build, test, and deployment workflows, and proactively seeks knowledge in cloud computing, distributed systems, storage technologies, networking, and emerging applications of AI/LLMs in infrastructure.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees