Senior Software Engineer-Azure Hardware Health Service

Develop and operate large scale, low latency, and high throughput cloud services. Drive and Lead highly complex and mission critical solutions that involve multiple Azure Services across global regions. Define and measure the success/impact of requested analytics & reporting features via quantitative measures. Contributes to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within the Service Level Agreement (SLA) timeframe. Participates in live service operations, and supports telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety. Collaborates with diagnostics and hardware-facing teams to consume diagnostic signals and health insights that improve failure detection and serviceability workflows. Supports the identification of dependencies and design documentation for product features, learns about system interactions and back-end dependencies, and contributes to architectural processes under guidance. Produces code to test hypotheses for technical solutions and assists with technical validation efforts. Collaborates on quality assurance plans, augments test cases, and integrates automation into testing, while understanding the implications of security and compliance in system architecture. Ensures compliance with security, privacy, safety, and accessibility standards, leverages developer tools for code creation and debugging, contributes to automation in production and deployment, and proactively seeks knowledge to improve product availability, reliability, efficiency, and performance at scale. Collaborate effectively with remote teams in global locations to ensure architectural alignment and feature delivery. 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. Experience with cloud-scale solution design, implementation, or integrating services and systems is a plus. Experience or interest in evaluating AI technologies (such as LLMs, SLMs, embeddings) and architecture (such as orchestration patterns, RAG, etc). Demonstrated experience with AI/ML technologies. Understanding hardware and devices, or familiarity with OS and Firmware health and error reporting. High tolerance to ambiguity and ability make progress when situations are in flux. Experience in big data mining, familiar with Hadoop/Spark, is a plus. Experience in object-oriented programming, SDE Fundamentals, and programming.