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Build the storage foundation that powers containerized workloads at the edge. On the Azure Container Storage enabled by Azure Arc (ACSA) team, you’ll work on robust, secure storage systems that operate in some of the most demanding customer environments—far from the cloud, close to where data is created. You’ll collaborate with engineers who are deeply invested in systems correctness, performance, and reliability, and you’ll see your work directly enable real‑world customer scenarios running Docker- and Kubernetes-based workloads at the edge. As a Senior Software Engineer on the ACSA team, you will design, build, test, and support distributed storage capabilities for containerized platforms. You’ll work primarily in Go, with opportunities to contribute to Rust-based components, while partnering closely with experts in storage systems, systems programming, and Kubernetes. This role will allow you to accelerate your technical growth, deepen your understanding of cloud‑to‑edge architectures, gain hands‑on experience integrating open‑source technologies into a commercial product, and build software that operates at the intersection of reliability, security, and scale.
Job Responsibility:
Collaborates with appropriate stakeholders to determine user requirements for a scenario
Drives identification of dependencies and the development of design documents for a product, application, service, or platform
Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI)
Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items
Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate
Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale
Requirements:
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
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
3+ months experience using AI coding tools such as GitHub Copilot
Engineering experience with Go, Rust, Kubernetes or Docker technologies