Microsoft Software Engineer II 

Mexico, Mexico City, Mexico City 

712958005

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages (e.g., C++, Java, Python, JavaScript, C#/.NET )
  • OR equivalent experience.
• Experience with modern frontend (React, Angular, or Blazor) and backend (.NET Core, Node.js) frameworks

Preferred Qualifications:

• Optimization Skills: Experience in performance analysis, testing, and optimization for large-scale web applications in cloud environments ( Azure preferred).
• Cloud & DevOps: Knowledge of modern cloud services, CI/CD pipelines, and infrastructure as code.
• Innovation Mindset: Ability to think creatively and contribute to roadmap discussions and product strategies.

Technical Development:

• Collaborate on the design, development, and deployment of innovative, scalable web applications.
• Develop full-stack solutions, working across modern frontend frameworks (React, Angular, or Blazor) and backend systems (.NET Core, Node.js) .
• Design APIs and backend services with a focus on performance, reliability, and scalability.
• Contribute to building robust, modular systems following best practices in software engineering.

Product-Focused Engineering:

• Build user-centric applications with an emphasis on improving user experience and productivity.
• Think critically about the interactions between client and server while designing APIs and services.
• Design and implement backend systems optimized for latency, scalability, fault tolerance, caching, and queuing .

System Design & Architecture:

• Participate in system design discussions and help implement scalable, maintainable solutions.
• Apply modern design patterns (e.g., MVC, Dependency Injection, CQRS) to create clean, efficient architectures.

Collaboration:

• Partner closely with product managers, UX designers, and other engineers to align technical solutions with business needs.
• Engage in code reviews, design discussions, and cross-team collaborations to ensure quality and alignment.

Continuous Improvement:

• Leverage data-driven insights to optimize system performance and drive continuous improvement in application development.
• Contribute to team-wide goals and processes that enhance productivity and technical outcomes.