Microsoft

Software Engineer II - Finance Data & Experiences

Microsoft Ciudad de México, Mexico

Software Development · 10,001+ employees

Oct 06
Remote Mid (2-5 yrs) Full-time Mexico
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About the role

The Software Engineer will independently utilize AI tools throughout the software development lifecycle to build and test high-quality, scalable solutions. They will collaborate with stakeholders to define requirements and implement automated production deployments.

What they look for

Software Engineering Artificial Intelligence Data Engineering Cloud Computing Azure SQL Python Java C# JavaScript ETL Machine Learning DevOps Data Pipelines GitHub Copilot Spark

Requirements

Candidates must have a Bachelor's degree in Computer Science or a related field and at least 2 years of technical engineering experience. Proficiency in programming languages like C#, Java, or Python and experience with cloud-based data or analytics solutions are required.

Full description

Overview Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a 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, 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 building a team that’s ready to help Microsoft chart its next chapter in AI-driven business excellence.

Responsibilities As a Software Engineer II, you will independently use appropriate artificial intelligence tools and practice across the software development lifecycle. You will work with appropriate internal stakeholders to understand customer/user requirements for a set of features. You will create a clear test strategy that ensures solution quality, executes test plans, and builds testable code. You will strive for automation within production deployment aiming for zero-touch when possible. You will apply and review coding patterns, security risks, and compliance issues in code reviews. You will apply security practices to achieve security hardening across product features.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications Required 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.

Preferred Qualifications

  • Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • Experience with SQL scripting, Microsoft Fabric, SQL Server, and Azure cloud services.
  • Experience designing, developing, deploying, and operating scalable cloud-based data, analytics, automation, or tooling solutions.
  • Knowledge of data structures, algorithms, and programming concepts used to solve complex technical problems.
  • Familiarity with AI/ML concepts and technologies, including Azure OpenAI, Azure Machine Learning, Cognitive Services, or similar tools.
  • Experience using AI-assisted development tools, such as GitHub Copilot, across software or data engineering workflows.
  • Experience with data engineering workflows, including data pipelines, ETL, SQL transformations, Spark jobs, partitioning strategies, or schema evolution.
  • Understanding of version control systems, such as Git, and DevOps practices.
  • Experience applying engineering practices related to code quality, testing, monitoring, logging, alerting, telemetry, and maintainability.
  • Experience collaborating across engineering, product management, and other stakeholder groups to deliver customer-focused solutions.
  • Ability to provide technical feedback and contribute to the improvement of AI, Azure, data platform, or Power Platform solutions.
  • Experience contributing to collaborative innovation and continuous improvement across teams.
  • Ability to navigate and resolve differing perspectives while considering stakeholder needs and sensitivities.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.