Staff Backend Engineer

Uber • Go • Java • Python • 1 month ago
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Salary
≈ $51k – $112k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 12+ years exp
Overview
Company
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Profile match

Uber

Uber Technologies, Inc. is a global transportation and mobility platform headquartered in San Francisco, California. Founded in 2009 by Garrett Camp and Travis Kalanick, the company revolutionized urban transit by pioneering ride-hailing via a smartphone app.
uber.com • HQ: San Francisco, United States • Transportation & Logistics • Delivery • Ride Hailing • 1001-5000 employees • Est. 2009

Responsibilities:

  • Lead the design and architecture of large-scale distributed systems.
  • Drive cross-team technical initiatives.
  • Own critical backend services powering millions of users.
  • Influence engineering standards and technical direction.
  • Mentor senior and mid-level engineers.
  • Design highly scalable, fault-tolerant distributed systems.
  • Optimise systems for latency, throughput, and reliability.
  • Review and approve architectural proposals across teams.
  • Set backend best practices and engineering standards.
  • Lead major cross-functional projects.
  • Drive the technical roadmap and long-term architecture vision.
  • Own mission-critical backend services (real-time dispatch, payments, pricing, etc. )
  • Improve system observability and operational excellence.
  • Lead incident response and root-cause analysis.
  • Mentor senior engineers.
  • Raise code quality and system thinking across the org.
  • Participate in hiring and technical interviews.

Requirements:

  • 8-12+ years of backend engineering experience.
  • Deep expertise in distributed systems.
  • Proven experience designing systems at scale (millions+ QPS).
  • Strong knowledge of: Concurrency, Networking, Data modelling, System performance tuning.
  • Experience leading large technical initiatives.

Technical Stack:

  • Languages: Go, Java, Python.
  • Infrastructure: KUbernetes, Docker.
  • Databases: MySQL, Cassandra, Redis.
  • Messaging: Kafka.
  • Cloud and Infra: Large-scale distributed systems, microservices.
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