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, high-energy 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 great customer experience on unreliable hardware.
Azure Hardware Health Service is looking for a Software Engineer II to join our team!

REQUIRED QUALIFICATIONS

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 1+ years experience with AI/ML technologies

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.

PREFERRED QUALIFICATIONS:

• Understanding of hardware and devices, or familiarity with OS and Firmware health and error reporting.
• 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, programming.
  Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
  Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: US corporate pay information | Microsoft Careers
  Microsoft will accept applications for the role until August 20th, 2025.

• Develop and operate large scale, low latency, and high throughput cloud services.
• Drive highly complex and mission critical solutions that involve multiple Azure Services.
• Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models.
• Define & 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 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.
• Understands and applies Microsoft’s responsible AI practices to ensure systems meet our commitments to our customers.