Senior Software Engineer - CoreAI

Build the platform that powers hundreds of thousands of cloud applications worldwide. Design and build robust deployment, upgrade, and orchestration systems for distributed Redis clusters running across 70+ Azure regions worldwide. Architect the end-to-end release platform across infrastructure, application, and observability layers to accelerate release velocity and improve deployment safety. Apply AI techniques (e.g., GitHub Copilot, LLMs, anomaly-detection models) to enhance DevOps, operations, and engineering workflows - detecting, diagnosing, and responding to issues across the global fleet. Build and improve observability, monitoring, and diagnostics tooling to enable rapid incident detection, root-cause analysis, and self-healing capabilities at scale. Design and deliver foundational platform capabilities and microservices for a hyperscale managed service Own end-to-end release engineering for a large-scale, mission-critical live service Lead critical technical decisions and, As a Senior Software Engineer on our team, you will be at the heart of designing and implementing cutting-edge software components that elevate Azure's storage solutions. Your cont…

• 1 day ago

execution across multiple teams Drive reliability, observability, and operational excellence across the fleet Champion AI-assisted engineering to accelerate delivery while raising the quality bar 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. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science, or related technical discipline 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. 2+ years experience building and operating distributed and highly scalable online services on Kubernetes in Azure or a similar cloud platform. 6+ months of experience applying AI technologies (such as large language models or code generation tools) in software development workflows, including tasks like static analysis, automated documentation, or test generation. Demonstrated ability to enhance engineering systems, developer speed, and product quality at scale.

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