Senior Software Engineer

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and deliver trusted experience to customers and partners worldwide and we are looking for passionate engineers to help achieve that mission.   To achieve this goal, we in the Hardware Health Service team within Azure are responsible for the design, implementation, and operation of global scalable cloud services to monitor the fleet’s hardware health and predict anomalies and pending failures.  We focus on delivering the solutions required for our cloud service platforms at the lowest possible cost of ownership (TCO) and providing outstanding customer experience on unreliable hardware.   Azure Hardware Health Service is looking for a  Senior Software Engineer  to be a part of the fast-paced and exciting business of Azure. This is your chance to be part of the most exciting end-to-end teams within Microsoft.  We are looking for a Senior Software Engineer with experience in cloud service development to come help us develop and light up innovative solutions that powers Azure and make our world-class cloud infrastructure even better.   #Azure   #CHIE    #HHS   Responsibilities Responsibilities   Develop and operate large scale, low latency, and high throughput systems.    Evaluate AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions targeting firmware/hardware improvement.   Specify or implement AI platform improvements like fine-tuning or training custom ML models.   Drive the continuous improvement process based on Root Cause Analysis (RCA) and identified opportunities.   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 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.   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 assist 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.     Define and measure the success/impact of requested analytics & reporting features via quantitative measures.

Required Qualifications: Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 1+ year(s) technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 4+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering,