Are you passionate about working on cutting edge new technology in Platform Firmware with a team that embodies the growth mindset? Are you hoping to join an organization which is built on a mission “To empower every person and organization on this planet to achieve more”? Then this is the role for you. The Azure Cloud Hardware Infrastructure division (SCHIE) is responsible for Firmware design and development of Server and Rack Infrastructure Firmware for Microsoft Online Services. As a Cloud Firmware Deployment engineer, you will work in distributed frameworks that scale the entire azure cloud infrastructure. You will develop new firmware deployment agents, scale, monitor and improve velocity of deployments. You will be key in building a reliable and security Cloud infrastructure. **Responsibilities** + Define system architecture and specifications for cutting edge features related to server infrastructure management. + Work with existing and new Cloud infrastructure API/frameworks(Distributed Systems) and development new Agents to orchestrate, accelerate firmware deployments to the azure infrastructure. + Participate in all stages of product from development, deployment and monitoring to debugging fleet/LiveSite issues. + Provide technical leadership and guidance to internal developers or external partners to deliver serviceable, reliable, and scalable solutions. + Stress on modular design and code reuse to achieve maintainability. + Collaborate with internal and external teams to find solutions that are leverageable across multiple architectures and generations. + Contribute to product vision and roadmap by bringing innovation to server manageability ecosystem. Work effectively in an Agile environment **Qualifications** **Core Competencies:** + **Generative AI Integration** : Ability to incorporate generative AI into workflows for debugging, optimizing, and automating data science tasks. + **AI Agent Development** : Familiarity with building smart software services using contextual data and generative models to automate tasks. + **Prompt Engineering** : Crafting effective prompts for LLMs and copilots to extract meaningful insights and automate decision-making. + **Data Indexing & Retrieval** : Experience with Azure AI Search and Kusto connectors for structured and semi-structured data. + **Model Evaluation & Selection** : Understanding of model capabilities within Azure AI Foundry and GitHub Copilot environments. + Ability to apply Regression, classification, clustering, recommendation systems, time series forecasting, hypothesis testing. into building reactive & self healing systems to manage the Entire Azure Fleet. Knpwledge on MCP, Agentic AI hands,RAG,Graph RAG **Strategic Impact:** + Drive innovation through AI adoption in across Firmware devops + Accelerate onboarding and ramp-up via AI-enhanced learning. + Contribute to patent filings and hackathon initiatives using AI tools. **Operational Excellence:** + Deliver measurable business impact through AI productivity. + Reduce engineering hours via AI systems (Reactive, prediction, classification) + Ensure compliance and responsible AI usage aligned with Microsoft’s RAI guidelines **Skills:** Hands on Python, Jupyter, PowerBI, Datafabric, Python, R, SQL, C#, MATLAB, Opensource LLM models like sonnet/Claude, Devops pipelines, prompt engineering and finetuning models/ **Education** : Basic Computer science or engineering with Hands on programming expertise. a Degree with ML/AI is a plus Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .