Uber Engineering

☁️🔈 KubeCon + CloudNativeCon EU 2026 is just a few days away! We can’t wait to meet you at Booth 221 to share how Uber is pushing the boundaries of cloud-native infrastructure and demonstrate the power of our Michelangelo ML platform. Register Today: events.linuxfoundation.org/kubecon-cloudn…

Uber’s migration to Kubernetes continues to serve as a catalyst for growth and innovation, with 450 trips per second across 70 countries and 15,000+ cities. Check out this blog from our archive to see where it all began. #UberEng #Kubernetes

Supporting 30 million+ predictions per second, Michelangelo has become Uber's central spine for AI/ML workloads. Getting here has taken work—check out this article published by @thenewstack to learn more.

Staying on top of code reviews and CI/CD updates shouldn't feel like a full-time job in itself. Check out this recording from @tsmith and Anshu Chadha from Uber's Developer Platform team on how we're tackling toil with Uber's Agentic Shift: youtube.com/watch?v=i1tZN4…

Agentic software engineering adoption is on fire at @Uber. 1,800 code changes per week are now written entirely by Uber's internal background coding agent, and 95% of our engineers now use AI every month across all the tools we track. This is a real reset moment for engineering; it's one of the most exciting times to lead. This shift requires builders to be curious and hands-on. I’m incredibly lucky to be surrounded by a team that’s doing exactly that. The best part is that the strongest adoption isn’t being pushed top down from leadership announcements; it’s coming from engineers who are quietly experimenting, quietly shipping, and quietly pushing things forward. I love spending time with those engineers because there’s no substitute for being close to the work. Over the last few months, we leaned in hard, and the results have been phenomenal. The bigger shift: going agentic. 84% of AI users are now working with agent-style workflows, not just tab completion. Claude Code usage nearly doubled in 2 months (32% → 63%), while IDE-based tools have largely plateaued. Engineers are moving from accepting suggestions to delegating tasks. Even within traditional IDEs, ~70% of committed code is now AI-generated. Background agents are writing code autonomously. Our internal background coding agent went from <1% of all code changes to 8% in just a few months. There is zero human authoring. Engineers review and approve, but the code is written entirely by AI agents. The role of the engineer is shifting - from writing every line to architecting systems and reviewing AI-generated code. More to come from the @UberEng team in the coming days.

Uber is setting a new standard for design systems by using the Figma Console MCP to shatter the manual documentation bottleneck. Weeks of spec writing turns into minutes of automated precision. Read more: uber.com/en-EG/blog/aut… #UberEng

Learn how we rebuilt our Ads personalization model with Transformer-based sequential encoders and HeteroMoE to better capture user intent, boost targeting accuracy, and scale intelligent ads delivery across the platform. Read More: uber.com/en-EG/blog/tra… #UberEng

🚲 Join Uber Engineering at @KubeCon_ + CloudNativeCon EU 2026! 🚗 We're excited to be a part of the cloud-native conversation at KubeCon EU 2026! We're presenting our latest work on how Uber's compute platform powers over 1M+ diverse workloads and the key role that Michelangelo plays in enabling our teams to seamlessly build, deploy, and operate machine learning solutions. We can't wait to connect with the community! ❓ Want to know more about how Uber is leveraging Kubernetes at scale, what's next for our open source projects, or interested in where a career at Uber might take you? Visit us at Booth 221 to chat! 🎫 Register for your ticket today: events.linuxfoundation.org/kubecon-cloudn… #UberEngineering #KubeCon #CloudNativeCon #OSS #OpenSource

Uber’s Payment Account Batch Processing system handles over 30 financial update operations per second for hot accounts. Learn how we built it without using special hardware or software. Read more: uber.com/en-EG/blog/hig… #UberEngineering #UberEng

Learn how Uber’s new Superuser Guardrails turn risky manual commands into peer-reviewed, machine-validated changes, and how to apply this pattern to your own systems. Read more: uber.com/blog/superuser… #UberEngineering #UberEng

Uber’s 10PB, 16K-dataset Hive monolith for the Delivery business had huge limitations. See how we transformed it into a secure, scalable platform with zero downtime and saved more than 1PB along the way. Read more: uber.com/blog/database-… #UberEngineering #BigData

Discover how Uber built and automated a global rate-limiting system that protects millions of RPCs per second, improving reliability, reducing latency, and simplifying operations across our service mesh. uber.com/blog/ubers-rat… #UberEng #DistributedSystems #ServiceMesh

Thrilled to partner with @OpenAI as one of their first partners in the OpenAI Frontier program. @Uber has always been AI-first from the start; today our teams use AI to reduce repetitive work, tackle higher-impact problems, and unlock entirely new experiences. This partnership will help us operationalize advanced AI at enterprise scale to deliver real-world impact. @UberEng

Uber processes trillions of Kafka messages per day on a push-based consumer proxy in real time. Read this blog to learn about the thinking behind open source uForwarder before applying it to your use cases. Read More: uber.com/blog/introduci… #UberEngineering #OpenSource #Kafka

Uber powers billion-scale vector search with OpenSearch. Discover the innovative optimizations we designed to boost search efficiency, scalability, and reliability for massive datasets. read more: uber.com/blog/powering-… #UberEngineering #UberEng #OpenSearch #VectorSearch

🚀 AI-thon is in full swing @Uber! 🤖✨ Tech teams across Uber are bringing imaginative ideas to life in our internal hackathon and expanding what’s possible with AI. Teams around the globe are heads down building, with submissions coming in just a few hours! And of course, we’ve saved some time for some fun: happy hours, fireside chats, swag, prizes, and time to meet new colleagues! 💡🌍

Discover how @Uber uses OpenSearch™’s streaming ingestion architecture for powerful search, and learn about our contributions to a pull-based ingestion framework in the OpenSearch project. read more: uber.com/blog/how-uber-… #UberEngineering #UberEng

Uber’s employee ‘AI-Thon’ kicks off today! 🚀 This week, tech teams from across the company will prototype bold ideas, expand what’s possible with AI, and build hackathon projects together. We can’t wait to see what emerges from a week of curiosity, creativity, and collaboration. 💡

By co-designing the new OCI™ AmpereOne-M® A4 instances, @Uber has moved beyond adapting to existing hardware and is now shaping the next generation of compute, optimized for its real-world workloads. read more: uber.com/blog/how-uber-…

🛢 Learn how @Uber moved from batch to streaming ingestion with IngestionNext, reducing data latency and unlocking real-time analytics across its petabyte-scale data lake. read more: uber.com/blog/from-batc… #UberEngineering #UberEng