Uber
From Uber's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
About the role and team Engineering at Uber means building for real-world impact under real-world constraints.
Engineering at Uber means building for real-world impact under real-world constraints. As a L5 Backend on the Pricing & Incentives team, you will build innovative products and scalable systems that power our global marketplace. Our systems produce real-time decision signals and sophisticated algorithms that other critical systems depend on every second. The problems here are complex, the systems are massive, and the stakes are immediate.
Requires backend expertise in low-latency microservices to architect joint optimization systems across our demand levers (TDF, TSF, HVAs, EUP). This role is necessary to unify disparate investment pipelines into a combined management system.
Own the software lifecycle end-to-end: from design docs through production rollout, debugging live issues, and managing incidents.
Collaborate across disciplines — Product, Applied Science, and Ops — to translate ambiguous marketplace problems into robust system designs.
6+ years of professional experience in backend software engineering, data engineering, or a related technical role.
Expertise in writing high-quality code to solve strategically important problems that span multiple organizations.
Experience leading org-wide engineering projects through all lifecycle stages: inception, stakeholder engagement, implementation, and operations.
Proven track record of overseeing incident management processes and directing on-call rotations in alignment with global best practices.
Demonstrated ability to make sound engineering/business tradeoffs, considering long-term implications for the greater good of Uber.
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
Experience building high-performance, scalable distributed systems at a 100M+ user scale.
Expertise in real-time streaming frameworks (Flink, Spark) and OLAP systems (Apache Pinot, Druid) to reduce system complexity.
Experience with Big Data/Hadoop ecosystem tools used to automate complex data orchestrations across multiple product areas.
Advanced proficiency in SQL and data warehousing, with a demonstrated ability to identify and reconcile architectural gaps.
Strong leadership traits: Experience serving as a representative for the organization to the broader internal and external technical community.
Proven ability to get alignment and buy-in for large-scale technology transformations across multiple job functions.
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 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.
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Hi [Name], I just applied for the Sr Software Engineer - Backend, Consumer Structural Pricing role at Uber. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!
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