1,648,552open jobs
98,999companies
251,419added this week
Browse all
Salary
$202k – $224k per year
Location
In office (Sunnyvale)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026. Uber scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Uber is an American mobility and delivery company founded in San Francisco in 2009 that connects independent drivers and couriers with riders and customers through its apps. It operates ride hailing in thousands of cities, a food and grocery delivery business built on the same courier network, a freight brokerage matching shippers with carriers, and an advertising business that sells placement inside those apps. Listed on the New York Stock Exchange since 2019, the company reached sustained profitability in the mid 2020s and now partners with autonomous vehicle developers rather than building self-driving technology itself.

About the role and team

Engineering at Uber means solving complex, real-world challenges at global scale. The Maps Experience team builds the backend services and technologies that power map-based experiences for millions of users across Uber's Rider and Earner applications. As a Senior Software Engineer, you will design, build, and scale high-throughput, low-latency distributed systems that serve map, location, and geospatial data, enabling critical experiences such as pickup and dropoff, airport wayfinding, and real-time map interactions. You'll tackle challenging engineering problems where performance, reliability, and scalability are essential, while driving architectural improvements and owning services end-to-end, from initial design to production operations. Working closely with mobile engineers, Maps platform teams, and cross-functional partners, you'll help shape the next generation of Uber's map experiences and build systems that directly impact how millions of people navigate and move around the world every day.

What you'll do

  • Design, develop, and maintain scalable backend services and APIs that serve map, location, and geospatial data to millions of users across Uber's applications.
  • Build and optimize high-throughput, low-latency distributed systems that power real-time map experiences, ensuring high availability, reliability, and performance at global scale.
  • Own backend systems end-to-end, from architecture and implementation to deployment, monitoring, troubleshooting, and continuous improvement in production.
  • Drive the evolution of backend architecture, improving scalability, system efficiency, and developer productivity while reducing technical complexity.
  • Collaborate closely with mobile engineers, Maps platform teams, Product, and other engineering teams to design and deliver new map-based experiences.
  • Identify and resolve complex technical challenges, make pragmatic engineering tradeoffs, and contribute to technical design and code reviews.
  • Mentor other engineers, share technical knowledge, and help establish engineering best practices within the team.

Basic Qualifications

  • 5+ years of professional experience in backend software engineering or a related technical field.
  • Strong proficiency in at least one backend programming language, such as Java, Go, C++, or Python.
  • Experience designing, building, and operating scalable backend services and distributed systems in production.
  • Strong understanding of API design, service-oriented architectures, data storage, and distributed systems fundamentals.
  • Experience with performance optimization, troubleshooting, and building reliable, highly available services.
  • Demonstrated ability to independently drive complex engineering projects from design through implementation and production.
  • Strong problem-solving skills and the ability to collaborate effectively with engineers and cross-functional stakeholders.
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

  • Experience building and operating high-throughput, low-latency backend services serving millions of users.
  • Experience with geospatial data, mapping technologies, location-based services, or real-time data serving systems.
  • Familiarity with distributed caching, database performance optimization, and scalable data-serving architectures.
  • Experience with microservices, cloud infrastructure, and observability tools for monitoring and troubleshooting production systems.
  • Experience working on backend systems that support mobile applications and latency-sensitive user experiences.
  • Proven ability to drive technical improvements across services and collaborate with multiple engineering teams.

For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For all US locations, 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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,648,552 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
Sunnyvale
$197k – $225k per year • In office • Full-Time • 7+ years exp • Bachelor's Degree • Richmond • McLean • Cambridge
Python
JavaScript
Rust
TypeScript
C#
Node JS
Scala
AI/ML
Machine Learning
DevOps
GCP
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Bitbucket
GitHub
Management
Agile
Apply
$197k – $225k per year • In office • Full-Time • 7+ years exp • Bachelor's Degree • McLean
Python
JavaScript
Rust
TypeScript
C#
Node JS
Scala
DevOps
GCP
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Bitbucket
GitHub
Management
Agile
Apply
≈ $217k – $398k per year (Estimated) • In office • 7+ years exp • Bachelor's Degree • Seattle
Java
C++
Mobile
CloudKit
DevOps
Kubernetes
Apply
≈ $174k – $343k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Seattle
Java
C++
Mobile
CloudKit
DevOps
Kubernetes
Apply
≈ $170k – $336k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Seattle
Java
C++
Databases
Redis
Cassandra
DynamoDB
Memcached
Apache Kafka
FoundationDB
Mobile
CloudKit
DevOps
gRPC
GCP
AWS
Kubernetes
Apply
≈ $221k – $405k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Sunnyvale
Java
SQL
Databases
MySQL
PostgreSQL
Cassandra
DynamoDB
Couchbase
Frontend
GraphQL
DevOps
Rest API
GCP
Azure
CI/CD
AWS
Kubernetes
Amazon EKS
Google GKE
Azure AKS
Amazon S3
Apply
≈ $162k – $297k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Sunnyvale
DevOps
GCP
Kubernetes
Google GKE
Apply
≈ $192k – $352k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Sunnyvale
Python
Java
Kotlin
C++
AI/ML
Vertex AI
LLM
TPU
Edge AI
DevOps
GCP
Apply
Software Engineer 1 day ago
≈ $119k – $235k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • Sunnyvale
Python
Java
C++
Scala
Databases
Snowflake
ElasticSearch
Apache Kafka
AI/ML
Spark
Airflow
Flink
Machine Learning
DevOps
Terraform
CI/CD
AWS
Docker
Kubernetes
Apply
≈ $183k – $373k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Sunnyvale
Python
JavaScript
C++
AI/ML
LangGraph
AutoGen
LangChain
Fine-tuning
RLHF
Multimodal AI
AI Agents
CrewAI
Google ADK
Hallucination
DPO
Pre-training
LLM Guardrails
Multi-Agent Systems
Tool Use
RLAIF
Reward Modeling
Machine Learning
DevOps
GCP
Apply
See all jobs
This is one of many
1,648,552 more open roles from verified company boards, updated every day.