Backend Engineer at Uber (San Francisco, CA)

| San Francisco, CA
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About the role:
Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.
About the Team:
Uber is a global company that operates in many markets. It is essential for our products to feel local everywhere. You'll be responsible for building and supporting part of the complete backend infrastructure for internationalization(i18n) at Uber. Your work will impact 1000s of Uber engineers ( both mobile and backend) to help them localize their products. Millions of daily transactions and users of Uber platform will depend on the systems you will be developing. You will build/deploy and support services that deliver high quality translated content to the Uber apps and services using best/latest practices at Uber. You will be responsible for collaborating with external third party providers that Uber i18n is connected to. You will also be responsible to collaborate and help out the localization team and cater to their needs.
  • You will make sure the new translations that are available get to the app and services in a matter of seconds.
  • You will maintain a consistent experience for both developers and end users (e.g. plurals/genders, ICU / CLDR integrations, bidi, pseudo localization, i18n testing, best practices, etc.)
  • Uber has a strong team of localization program managers and linguists, you will work with them to cater to their needs by adding features and building tooling.
Minimum qualifications:
  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 1 year of full-time Software Engineering work experience, WHICH INCLUDES 1-year of total technical software engineering experience in one or more of the following areas:

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

  • Note the 1-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.
Technical skills:
Preferred:
  • Scalability engineering
  • Distributed systems
  • Knowledge of i18n/L10n is a huge plus
  • python, Mysql, Nosql
  • Architecture: Knowledge of data structures and an eye for architecture.
  • Strong coding/debugging abilities: You have advanced knowledge of at least one programming language, and are happy to learn more. Our codebase is primarily in Golang.

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world!
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together!
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please let us know by completing this form.
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An Insider's view of Uber

What’s the vibe like in the office?

When I went into the office for my final interview with Uber, I had the same feeling that I did when I stepped onto my college’s campus for the first time: it just felt like the right fit. The office was high-paced but also relaxed and you could immediately tell that people were friends and genuinely enjoyed being there.

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What kinds of technical challenges do you and your team face?

One of the big challenges today with experimentation is around guaranteeing correctness, especially for small changes to ensure confidence in results. Was that change the cause of new behavior? Did other experiments get in the way? It all comes down to how accurately you can detect small changes within consumer behavior.

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What makes someone successful on your team?

"It’s not just about the individual contributor. The most successful people are the ones learning from others. On my team, I make sure that everyone shares best practices and we foster a collaborative culture. So when you’re on a call, you’re never really alone. And that applies to everyone."

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How do you empower your team to be more creative?

We make sure we don’t ship org structures, but rather aligned products. How can our products complement one another, building upon each other to achieve our primary goals? Whether it’s scheduling, routing, predictive analytics, or operational excellence, we are acting as one, and smartly leveraging our domains and strengths.

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How does your team reward individual success?

I believe recognizing someone’s contributions are a big part of team play. On our weekly meetings, we always start with a shout-out, and it’s amazing how this simple topic stimulates the team to recognize small victories and accredit colleagues for their accomplishments. This brings our team together and fosters a more collaborative environment.

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