About Job CTC Undisclosed Job Location Mexico Experience 2 - 4 yrs Description Overview

Ready to shape the future of how Microsoft operates its ~$250B business portfolio? Are you passionate about AI (artificial intelligence), data, and transformative user experiences? Do you bring energy, curiosity, and a spirited 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 were 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 thats 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 were building a team thats ready to help Microsoft chart its next chapter in AI-driven business excellence.

As a Software Engineer II at Microsoft, youll 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 kick-start and grow your career with deep hands-on exposure to Microsoft technologies, while developing your software engineering skills in an inclusive, growth-oriented environment.

Qualifications Required/Minimum Qualifications Bachelor's Degree in Computer Science or related technical field AND 2 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python OR equivalent experience. Programming skills in one or more languages: C#, Java, Python, JavaScript, C . 2 years of experience with any of the following: SQL Server, Synapse, Azure Data Lake, Azure Data Factory, Databricks or similar technologies. Business level fluency to read, write and speak English and Spanish. Additional or Preferred Qualifications Master's Degree in Computer Science or related technical field AND 2 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 4 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python OR equivalent experience. 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 solid understanding of cost management, scalability, and observability. Curiosity, collaboration mindset, and a passion for solving real-world customer problems.

Microsoft will accept applications for these roles until July 18, 2025.

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 (machine learning) models to enhance system intelligence and user productivity. Apply engineering top industry 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 Microsofts data platforms through technical feedback and innovation. Embody and champion our Culture and Values and continuous learning. Additional areas may include: ETL Pipelines: building and managing ETL (Extract, Transform, Load) pipelines. Data Visualization: Represent key data insights visually to provide meaningful information to end-users. Locations

Mexico City, Mxico, Mexico