Uber

What the sources establish

Uber’s detailed engineering guidance is a July 2021 Uber blog post, “Navigating our engineering interview process: coding”, whose original URL now returns “page not found”; it was read from an Internet Archive copy. As of 2021 it described a recruiter call, a technical phone screen and a team interview of up to six back-to-back sessions of about an hour, each mostly a 30–40 minute coding exercise in the candidate’s language on CodeSignal or a whiteboard, with time for behavioral questions. Uber’s current “How we hire” page (undated, copyright 2026) gives only a generic outline: talent-team conversation, hiring-manager chat, a technical interview for technical roles on a shared problem or real scenario worked in real time, a role-dependent exercise or assessment, a team interview, and a decision. Not established for today: round counts, durations, languages, coding environment, and AI or tool rules (an FAQ entry about assessment tools exists, but its answer could not be read).

1. Navigating our engineering interview process: coding (Uber Blog, archived copy)

   Official, historical

   Uber (Uber Blog), via the Internet Archive. Published 2021-07-27 (updated January 2022 per page metadata); archived copy captured 2025-09-22; read 2026-10-05. Read in full for this page.

   Scope: Software engineering candidates in general (no level split), covering the recruiter call, technical phone screen and team interview as of 2021.

   Documented by this source

   • A recruiter or sourcer call about experience and motivation, then a technical phone screen with an engineer or engineering manager from the team, then a team interview.
   • About an hour per interviewer for both phone screens and team interviews; the team interview could include up to six back-to-back interviews with breaks (2021).
   • Each session: introductions, roughly 30–40 minutes on a coding exercise, about 5–10 minutes on past work including behavioral questions, and 5–10 minutes for your own questions.
   • Real-world coding problems rather than logic puzzles or brain teasers, with discussion of runtime and memory complexity and of how a solution scales.
   • Language of the candidate’s choice; stick to the standard library and mention useful external libraries rather than assume them.
   • CodeSignal during phone screens, where interviewers may run prepared test examples; CodeSignal or a whiteboard in team interviews.
   • Preparation advice: explain your own contribution to past projects, review data structures and algorithms, practice timed problems (about 30 minutes), think aloud, ask clarifying questions, and write readable code and a few tests.

   Outside or AI tools, according to this source: Historical: CodeSignal or a whiteboard as the coding environment, and a general rule to limit yourself to the language’s standard library. Nothing about AI tools. Follow the instructions in your own assessment invitation.

   • The URL supplied for this post (https://www.uber.com/en-NG/blog/engineering-interview-process/) and every locale variant tried returned “page not found” on 2026-10-05, so the link here is the Internet Archive copy of the original Uber page.
   • Written in 2021; rounds, tools and durations may have changed.
   Open source(opens in a new tab)Link responded, 5 Oct 2026

2. Uber Careers: How we hire

   Official

   Uber. Undated page (copyright 2026); read 2026-10-05. Only partly readable when checked.

   Scope: All Uber roles; one step is marked as applying to technical roles only and another as role-dependent.

   Documented by this source

   • Steps: apply, conversation with the talent team, chat with the hiring manager, technical interview (technical roles only), functional exercise or assessment (role-dependent), team interview, decision.
   • The technical interview looks at how you build and solve, possibly by working through a shared problem or real scenario with an interviewer, collaboratively and in real time.
   • Role-dependent exercises may be an analytics task, written exercise, portfolio review or work simulation.
   • The hiring-manager chat goes deeper into your skills, your decisions and how you approach problems at scale.
   • The team interview is with teammates and cross-functional partners and focuses on collaboration, decision-making and contribution in fast-moving environments.
   • Recruiters and the hiring team review performance against specific job criteria before the recruiter shares the outcome.

   Outside or AI tools, according to this source: An FAQ entry asks what tools Uber uses for assessments, but its answer did not load; no AI rule could be read. Follow the instructions in your own assessment invitation.

   • Direct download returned HTTP 403, so the page was read through a fetch tool, and the FAQ answers (preparation, video interviews, assessment tools) did not load.
   • Generic across functions: no durations, round counts, languages or coding environment for engineers.
   • Reached from the uber.com careers “interviewing” link, which redirects here.
   Open source(opens in a new tab)Not checkable automatically, 5 Oct 2026

   Check note: The site refused or challenged the automated request (HTTP 403). This is common for bot protection and does not mean the link is broken.

Our preparation recommendation

Our preparation suggestion, not an Uber statement. Both sources center on collaborative coding on realistic problems (the 2021 post in detail, the current page in outline), so coding fluency, complexity reasoning, testing and communication come first. The 2021 post also reserved time in every session for past-work and behavioral questions, and the current page adds a hiring-manager chat and a team interview, so behavioral and project stories matter. For mid and senior candidates we add system design and data-intensive topics, inferred from the scale of Uber’s marketplaces rather than from a documented round.

1. Pattern recognition and mixed practiceNot started

   Coding on real-world problems is the core of both the 2021 description and the current outline.

2. Complexity analysisNot started

   The 2021 post expects you to discuss runtime, memory and how a solution scales, and to improve a naive first attempt.

3. Correctness, invariants, edge cases and testingNot started

   The 2021 post recommends a few tests and edge-case checks, and interviewers may run their own test examples.

4. Explaining solutions aloudNot started

   Thinking aloud and asking clarifying questions are the post’s main tips, and the current page stresses clear communication.

5. Coding fluency and standard-library costsNot started

   Use your strongest language and its standard library, as the 2021 post advises.

6. System design methodNot started

   For mid and senior roles, a structured design method helps in the hiring-manager chat and any design round; confirm whether your loop has one.

7. Partitioning, hot keys and cachingNot started

   Inference from the domain: geo-partitioned, high-traffic services and hot keys are typical design themes for real-time marketplaces.

8. Behavioral stories and values-based questionsNot started

   Behavioral questions followed each coding exercise in 2021, and today’s team interview focuses on collaboration and decisions.

9. Project deep divesNot started

   The 2021 post asks you to explain your personal contribution, and the hiring-manager chat goes deeper into your past decisions.

Confirm with your recruiter

• The current interviews for your role, including whether a functional exercise or assessment applies, since the detailed format is from 2021.
• Your level and whether system design or architecture interviews are included.
• Programming language options and the coding environment (the 2021 post mentions CodeSignal or a whiteboard).
• Rules for AI assistants, external libraries, documentation and running code during interviews.
• Whether there is an online assessment or take-home, with its time limit and allowed resources.
• Logistics: remote or in person, the number of sessions on the team-interview day, and breaks.
• Which team you are matched to (for example marketplace, maps, payments, infrastructure or mobile) and whether platform-specific interviews apply.

Limitations of this page

• Uber’s detailed engineering guidance is from 2021 and is only available as an archived copy, because the original URL now returns “page not found”.
• The current page is generic, and its FAQ answers, including the one on assessment tools, could not be read.
• Scale-related design topics are our inference from Uber’s products.