Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is looking to solve the problem of monitoring the fleet's hardware health and predicting anomalies and pending failures within Azure's global scalable cloud services, aiming for the lowest possible cost of ownership and a great customer experience on unreliable hardware.
Requirements
- coding in languages including, but not limited to, C, C++, C, Java, JavaScript, or Python
- 1+ years experience with AI/ML technologies
- Understanding of hardware and devices, or familiarity with OS and Firmware health and error reporting.
- Experience in big data mining, familiar with Hadoop/Spark is a plus.
- Experience in object oriented programming, SDE Fundamentals, programming.
- leverages developer tools for code creation and debugging
- contributes to automation in production and deployment
Responsibilities
- 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.
- 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.
- Produces code to test hypotheses for technical solutions and assist with technical validation efforts.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Tolerance to ambiguity and ability make progress when situations are in flux.
- Understands and applies Microsoft’s responsible AI practices to ensure systems meet our commitments to our customers.
- Ensures compliance with security, privacy, safety, and accessibility standards
