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ofertas na Uber em Brasil

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Sr. Staff Engineer, Backend - Delivery
Uber
São Paulo
Presencial
BRL 160.000 - 200.000
Tempo integral
Há 2 dias
Torna-te num dos primeiros candidatos

Resumo da oferta

A leading technology company in São Paulo is seeking a Senior Staff Engineer to drive backend service development and leverage advanced technologies such as machine learning and distributed systems. Candidates should have a PhD or equivalent and expertise in relevant programming languages. This role involves mentoring engineers and working within a dynamic, collaborative environment.

Qualificações

  • PhD or equivalent in relevant field or 10+ years of software engineering experience.
  • Experience with programming languages such as C, C++, Java, Python, or Go.

Responsabilidades

  • Lead development and maintenance of backend services for user-facing products.
  • Focus on advanced technologies like telematics, machine learning, and real-time data processing.

Conhecimentos

Programming languages (C, C++, Java, Python, Go)
Distributed systems
Product engineering
Scalability engineering

Formação académica

PhD or equivalent in Computer Science, Engineering, Mathematics or related field
Descrição da oferta de emprego

About the role:

Sr. Staff Engineers at Uber have an impact across a variety of business and technology decisions spanning projects and locations. We are passionate and pragmatic technologists who are able to design scalable systems while deliver efficient code. We are humble teachers, technically mentoring a team of talented engineers while also executing on delivering uniquely ambitious projects! As a Staff Engineer on the Engineering team in Brazil, you will be an early member of Uber's first development center in LATAM.

What You'll Do

Leads efforts within the organization to drive the development and maintenance of backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.

The work you do will initially focus on advanced technologies to improve safety around the world, such as advanced telematics, machine learning, high scale distributed systems, real time data processing and mobile development, among others.

Minimum qualifications:
  • PhD or equivalent in Computer Science, Engineering, Mathematics or related field OR +10-years full-time Software Engineering work experience.

  • Programming language (e.g. C, C++, Java, Python, or Go)

Technical skills:
  • Distributed systems
  • Product engineering
  • Scalability engineering
About our teams
Grocery

Uber is redefining the future of grocery & retail. A company that started by transporting people from place to place, now transports nearly anything a customer could want or need, on-demand. The Grocery Engineering Team is responsible for ensuring that as we move to transport more than just people & restaurant food, our platform evolves to provide a best-in-class experience for customers, earners and brands. Today this team is focused on grocery, but will continue to flex into a longer tail of categories in the future.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.

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