Software Engineer: Full-stack
Job Description
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? The Finance Data & Experiences (FD&E) organization is on a mission to redefine how Microsoft measures, monitors, and optimizes its global business — and we’re looking for top talent to join us. This is a unique opportunity to lead with bold ideas, apply cutting-edge technology, and work across Finance, Sales, Marketing, Business Operations, and Product Engineering to deliver high-impact business solutions. The right candidate will thrive in fast-paced, cross-functional environments, bring fresh thinking to complex problems, and be eager to learn to take ownership of end-to-end processes and outcomes. Join us and be part of a team that’s pushing the boundaries of innovation, taking risks, and implementing AI to drive business excellence 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.
Locations
- Mexico City, México, Mexico, Mexico City, México, Mexico
Salary
Salary not disclosed
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 Pythono OR equivalent experience (degree)
- Business fluency in English (read, write, speak). (degree)
- Exposure to Microsoft Azure or other cloud platforms (GCP, AWS). (degree)
- Familiarity with AI/ML fundamentals, tools (like Azure ML, OpenAI), or data analytics workflows. (degree)
- Understanding of version control systems (e.g., Git) and DevOps and CI/CD practices. (degree)
- Cloud Native Architecture, with a strong understanding of cost management, Scalability and observability. (degree)
- Hands-on experience with Selenium or any automation tools and SQL. (degree)
- Curiosity, collaboration mindset, and a passion for solving real-world customer problems. (degree)
- None (degree)
Preferred Qualifications
- Exposure to Microsoft Azure or other cloud platforms (GCP, AWS). (degree)
- Familiarity with AI/ML fundamentals, tools (like Azure ML, OpenAI), or data analytics workflows. (degree)
- Understanding of version control systems (e.g., Git) and DevOps and CI/CD practices. (degree)
- Cloud Native Architecture, with a strong understanding of cost management, Scalability and observability. (degree)
- Hands-on experience with Selenium or any automation tools and SQL. (degree)
- Curiosity, collaboration mindset, and a passion for solving real-world customer problems. (degree)
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.
- Apply engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end-to-end through design, implementation, and operations.
- 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.
Travel Requirements
3 days / week in-office
