At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft is looking for aspiring software engineers from a scope of disciplines to join our newest office in Mexico City.

We care deeply about delivering the best transportation experience; this means the best experience for the passenger and the best experience for the driver. We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets… how they evolve, how they breathe. 

Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours?

Responsibilities:

  • Brief daily meeting to sync with small cross-functional team (scrum)
  • Own your project, while checking in with other team members throughout the day with questions and updates
  • You leave the code in a better state than when you found it (progressive refactor)
  • You value reliability, ensured by testing (unit, integration and load tests)
  • Participate in code reviews to ensure code quality and distribute knowledge
  • Continuous integration and deployment
  • Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft passenger!
  • Work either onsite in our Mexico City office or remotely from home as a full time engineer

Experience:

  • Currently pursuing a degree in Computer Science or a related field, with at least one additional term of school to complete after the end of this internship
  • Available during Fall 2022 for an internship located in Mexico
  • Strong knowledge of Computer Science fundamentals
  • Excellent communication skills
  • Passion for community, sustainability, and/or transportation
  • Ability to thrive in a startup environment
  • Contributions to open source projects
  • Experience working with databases
  • Experience solving real-time technology problems
  • Experience with mobile development
  • Previous work with social networks

Responsabilidades: 

  • Reuniones breves diarias con pequeños equipos multifuncionales (scrum)
  • Pon en marcha tu proyecto, revisa en el día con otros miembros del equipo  preguntas o actualizaciones.
  • Dejas mejor el código que como lo encontraste al inicio (refactorización progresiva) .
  • Evalúas la fiabilidad garantizada por las pruebas automatizadas (pruebas unitarias, de integración y de carga)
  • Participas en revisiones de código para garantizar la calidad del código y distribuyes el conocimiento
  • Integraciones e implementaciones continuas
  • Regresas a casa sabiendo que tu trabajo hoy está mejorando significativamente las vidas de todos los conductores y pasajeros de Lyft
  • Trabaja en la oficina de la Ciudad de México o de forma remota como ingeniero

Experiencia: 

  • Actualmente cursando B.S. (Licenciatura)  o M.S. (Maestría) en Ciencias de la Computación o equivalente
  • No exceder de 9no Semestre después de acabar la pasantía
  • Disponible Durante el otoño de 2022 para la pasantía en ciudad de México
  • Experiencia con programación orientada a objetos
  • Habilidad para prosperar en un entorno rápido 
  • Pasión por la sustentabilidad y/o el transporte
  • Gran conocimiento de los fundamentos de la informática
  • Excelentes habilidades de comunicación
  • Contribuciones a proyectos de código abierto
  • Experiencia trabajando con bases de datos
  • Experiencia en la resolución de problemas tecnológicos en tiempo real.
  • Experiencia con desarrollo móvil
  • Trabajo previo con redes sociales

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment  without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. 

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