Job
Description
As a motivated software engineer with a strong interest in cloud-scale distributed systems, you will be part of the Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) team responsible for powering Microsoft's expanding Cloud Infrastructure and driving the Intelligent Cloud mission. Your primary focus will be on monitoring and managing cloud hardware to ensure the health, performance, and availability of the cloud infrastructure. You will have the opportunity to work on building and maintaining cloud services and software stacks, contributing to the development of cutting-edge hardware solutions that power Azure and enhance Microsoft's cloud infrastructure. Responsibilities: - Design, develop, and operate large-scale, low-latency, high-throughput cloud services. - Monitor, diagnose, and repair service health and performance in production environments. - Conduct A/B testing, establish baseline metrics, set incremental targets, and continuously validate against those targets. - Utilize AI/copilot tooling for development and operational efficiency to drive improvements meeting individual and team-level goals. - Perform data analysis using various analytical tools and interpret results to provide actionable recommendations. - Define and measure the impact of requested analytics and reporting features through quantitative measures. - Collaborate with internal peer teams and external partners to ensure highly available, secure, accurate, and actionable results based on hardware health signals, policies, and predictive analytics. Qualifications: - B.S. in Computer Science, M.S. in Computer Science, or Ph.D. in Computer Science or Electrical Engineering with at least 1 year of development experience. - Proficiency in programming languages such as C#, C, Python, and scripting languages. - Strong understanding of Computer Science fundamentals including algorithms, data structures, object-oriented design, multi-threading, and distributed systems. - Excellent problem-solving and design skills with a focus on quality, performance, and service excellence. - Effective communication skills for collaboration and customer/partner correspondence. - Experience with Azure services and database query languages like SQL/kusto is desired but optional. - Familiarity with AI copilot tooling and basic knowledge of LLM models and RAG is desired but optional. Join us in shaping the future of cloud infrastructure and be part of an exciting and innovative team at Microsoft SCHIE.,
