Ready to shape the future of how Microsoft operates its ~$250B+ business portfolio?
Are you passionate about AI, data, and transformative user experiences?
Do you bring energy, curiosity, and a strong sense of ownership to your work?
At FD&E, we foster a culture of customer centricity, innovation, agility, and transparency — and we're buiding a team that's ready to help Microsoft chart its next chapter in AI-driven business excellence.
As a Software Engineer at Microsoft, you'll be part of a team of world-class engineers leveraging cutting-edge Microsoft Cloud and AI technologies to deliver modern, scalable, and intelligent systems that drive the Microsoft business forward.
This is a unique opportunity to kickstart and grow your career with deep hands-on exposure to Microsoft technologies, while developing your software engineering skills in an inclusive, growth-oriented environment.
Responsibilities :
- Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services.
- Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity.
- Implement robust monitoring, logging and alerting for proactive issue detection.
Leverage telemetry and usage analytics to understand customer behavior and inform product decisions.
- Collaborate cross-functionally across stakeholders, product managers, and other engineers to deliver integrated, customer-focused experiences.
- Contribute to the evolution of Microsoft's data platforms through technical feedback and innovation.
- Champion a culture of diversity, inclusion, customer obsession, and continuous learning.
Qualifications :
Required Qualifications :
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- o OR equivalent experience
- Business fluency in English (read, write, speak).
Preferred Qualifications :
- Exposure to Microsoft Azure or other cloud platforms (GCP, AWS).
- Familiarity with AI/ML fundamentals, tools (like Azure ML, OpenAI), or data analytics workflows.
- Understanding of version control systems (e.g., Git) and DevOps and CI/CD practices.
- Cloud Native Architecture, with a strong understanding of cost management, Scalability and observability.
- Hands-on experience with Selenium or any automation tools and SQL.
- Curiosity, collaboration mindset, and a passion for solving real-world customer problems.
EiP
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