Software Quality Engineer

Then the Microsoft Azure Storage team is for you. Microsoft’s cloud storage solution, Microsoft Azure Storage, is a scalable and highly distributed storage system designed to be accessible worldwide. From ExaBytes, to ZettaBytes, to YottaBytes and beyond, Azure Storage leads the industry in Advanced offloads and accelerations, powering high performance Cloud scale Storage and Networking.

We are seeking an experienced senior quality engineer to drive quality strategy, validation architecture, and release readiness for Azure Container Storage. This role is focused on ensuring the reliability, scalability, performance, and operational excellence of cloud-native storage services that power Kubernetes-based workloads at scale. The ideal candidate will bring deep expertise in Kubernetes storage ecosystems, CSI architecture, stateful workloads, and storage lifecycle management, combined with a track record of defining quality strategies for large-scale distributed systems and cloud platforms.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Lead end-to-end validation efforts for platform services with emphasis on reliability, scalability, upgradeability, customer experience, and production readiness
• Works with appropriate stakeholders to influence architecture and design decisions, establish quality standards, drive release readiness reviews, and continuously improve product quality through customer feedback, telemetry, and live-site learnings
• Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems

• Bachelor’s Degree in Computer Science or related technical field 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

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, * Master’s Degree in Computer Science or related technical field AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience
• Experience with:
• Validating cloud-native platforms, Kubernetes-based solutions, distributed systems, and infrastructure services at scale
• Large-scale cloud services, distributed systems, or infrastructure platforms serving enterprise or hyperscale customers
• Defining release governance, quality metrics, test coverage strategies, and production readiness reviews for complex platform products
• Service operations, live-site practices, incident management, telemetry-driven quality improvements, and customer issue analysis
• Mentoring engineers and driving quality engineering best practices across teams or organisations
• Defining and driving quality strategy, test architecture, validation methodologies, and release readiness processes for large-scale distributed systems, cloud platforms, or enterprise software products
• Kubernetes storage ecosystems, CSI architecture, stateful workloads, persistent storage concepts, and storage lifecycle management, including provisioning, expansion, snapshots, cloning, backup/restore, upgrades, and operational workflows
• Storage platform fundamentals, including availability, resiliency, disaster recovery, scalability, capacity management, performance, and operational excellence
• Leveraging AI-assisted engineering tools to improve software quality, test effectiveness, or engineering productivity
• Partnering closely with Software Engineers, Product Managers, and partner teams to drive quality outcomes throughout the software development lifecycle
• Leading end-to-end validation efforts for platform services with emphasis on reliability, scalability, upgradeability, customer experience, and production readiness
• Working knowledge of automation and test infrastructure design to improve validation efficiency and coverage
• Demonstrated ability to identify quality risks early, influence architecture and design decisions, and establish quality standards across engineering teams