Software Engineer II - Engineer

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About the role and team
Engineering at Uber means building for real-world impact under real-world constraints. As a Software Engineer II on our Data and Storage teams, you will architect the foundational infrastructure that powers business decisions and core services for millions of users. Whether you are scaling distributed storage platforms or building high-performance data pipelines, you will be solving complex challenges at the intersection of low latency, high correctness, and massive scale.
The problems here are messy and the systems are global. You’ll need to make smart decisions with imperfect information, own your work end-to-end, and stay calm when high-load systems are on the line. We are looking for engineers who think in systems, pride themselves on robust monitoring, and believe that the best solutions are built through candid feedback and cross-functional collaboration. If you’re energized by challenges and motivated to move the real world - this is where you’ll grow.
What you’ll do
Design, develop, and maintain high-quality code for features of moderate complexity and projects with multiple dependencies.
Build and scale foundational infrastructure and data pipelines, balancing technical debt and shifting priorities while keeping long-term impact in mind.
Own the software lifecycle end-to-end, from drafting design docs to debugging production issues and managing incidents independently.
Collaborate across disciplines - including Product, Data Science, and Ops - to translate ambiguous requirements into simple, elegant system designs.
Champion engineering best practices by providing quality code reviews, creating comprehensive tests, and improving system performance.
Navigate internal complexity and stakeholder inquiries to unblock dependencies and ensure the reliability of our production environment.
Basic Qualifications
3+ years of professional software engineering experience in backend development, distributed systems, or data engineering.
Proficiency in one or more object-oriented or functional programming languages (e.g., Go, Java, Python, or C++).
Experience with data modeling, query optimization, and translating customer problems into system design.
Bachelor’s Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field.
Experience writing tests to verify functionality and establishing monitoring systems to ensure code stability.
Preferred Qualifications
Experience identifying and reducing code-level technical debt in high-load distributed systems.
Background in mentoring new team members and contributing to engineering culture.
Proficiency with Big Data frameworks (e.g., Spark, Flink) or real-time data streaming (e.g., Kafka).
Demonstrated ability to exercise sound judgment on engineering trade-offs for complex features.
[DELETE THESE INSTRUCTIONS BEFORE POSTING
.
Please note that this job code is used for both Industry and University roles, so the template is combined. If you are posting a
University
role, please keep the JD template below and delete the one above.]
About the role and team
Working at Uber as a PhD New Grad means taking deep technical expertise and applying it to high-stakes, real-world constraints. This is not a theoretical exercise; you will be building for massive scale where performance, safety, and reliability are non-negotiable. You’ll join a team of engineers tasked with solving some of the most complex problems in the digital-physical world—turning ambiguous data and research into the systems that power movement for millions of users in real-time.
The pace here is fast, and the systems are often messy and complex. We are looking for researchers who want to be practitioners—individuals who stay calm under pressure, think in systems, and have the grit to see a project through from the first design doc to production. If you are energized by the challenge of making smart decisions with imperfect information and want to own the outcomes of your work end-to-end, this is where you’ll grow.
What you’ll do
Design, build, and maintain production-grade software and systems that directly support Uber’s global marketplace, where technical decisions have immediate real-world impact.
Solve messy, high-impact problems in fast-changing environments—translating your specialized research and analytical skills into practical, scalable solutions without a clear starting point.
Own your work end-to-end: from architectural design and data pipelining to debugging real-time production services when stakes are high.
Collaborate across disciplines—including Product, Data Science, and Operations—to navigate competing priorities and influence technical direction without formal authority.
Champion engineering best practices like code health, rigorous testing, and design clarity, even when project timelines are tight and the pressure to ship is high.
Navigate internal complexity and legacy systems, identifying technical debt and unblocking dependencies to keep our marketplace efficient and reliable.
Basic Qualifications
Completing or recently completed a PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
Preferred Qualifications
Proven experience writing clean, maintainable, and high-quality code in a production or collaborative research environment.
Deep technical expertise in one or more areas of computer science, such as distributed systems, algorithmic design, optimization, or large-scale data processing.
Documented history of solving complex, unstructured problems through independent research or technical projects.
Experience designing and crafting scalable, reliable, and reusable software solutions that address complex architectural or algorithmic challenges.
Proven ability to thrive in a high-ambiguity environment, demonstrating adaptability and a bias for action.
Strong systems-thinking mindset, with the ability to balance long-term technical health with short-term business needs.
Excellent communication skills, with a track record of translating complex technical concepts for diverse stakeholders.
For Seattle, WA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.