Firmware Deployment Engineer
Hyderabad, Telangana, India
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Microsoft
Entdecken Sie Microsoft-Produkte und -Dienste für Ihr Zuhause oder Ihr Unternehmen. Microsoft 365, Copilot, Teams, Xbox, Windows, Azure, Surface und mehr kaufenAre 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. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Azure Classification Claude Clustering Computer Science Copilot DevOps Distributed Systems Engineering Generative AI Generative modeling GitHub Jupyter LLMs Machine Learning Matlab Pipelines Power BI Prompt engineering Python R RAG Responsible AI Security SQL Testing
Perks/benefits: Career development Medical leave
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