Azure Hyperscale Network organization is responsible for designing and building the software-defined physical network infrastructure that powers millions of servers globally for Azure, Bing, Microsoft cloud services, and AI Supercomputing. The Network Device Health team is looking to design, build, deploy, and maintain large-scale distributed systems that collect network telemetry, verify network states, detect and alert on reliability issues, and rapidly localize and mitigate them.
Requirements
- coding in languages including, but not limited to, C, C++, C-Sharp, OR Java, JavaScript, or Python
- 2+ years of experience with distributed systems or networking.
- 1+ years experience with generative AI models (e.g., LLMs, diffusion models) and frameworks such as OpenAI, Hugging Face Transformers, LangChain, or Semantic Kernel.
- 1+ years experience with agentic AI architectures, including planning, memory, tool use, and orchestration.
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, OR Python
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
Responsibilities
- Design and implement scalable, production-grade AI systems that integrate generative AI capabilities—such as large language models (LLMs) and multimodal systems—into real-world applications to enhance user experiences and automate tasks.
- Drive the identification of technical dependencies and author design documents for services and platforms that support AI-driven application development.
- Create, optimize, debug, refactor, and reuse code to improve system performance, maintainability, and return on investment (ROI).
- Act as a Designated Responsible Individual (DRI), guiding incident response and on-call operations to monitor, triage, and restore services during degradation or outages—ensuring high availability and reliability.
- Work closely with other software engineers and data scientists to support Azure’s production network and integrate AI-driven insights into infrastructure operations.
- Proactively explore emerging technologies, patterns, and tools to improve observability, efficiency, and performance at scale—driving consistency in monitoring and operational excellence across the engineering lifecycle.
- Collaborate with cross-functional stakeholders to define user requirements and translate them into intelligent, agentic software applications that autonomously reason, plan, and act across complex workflows.
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.
- Microsoft is an equal opportunity employer.
- If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
