Staff Backend Engineer

Uber · Bengaluru

  • Experience9–13 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About Uber

Uber is hiring in Bengaluru in automotive mobility. This role looks for around 9+ years of experience.

Skills

  • distributed systems
  • Concurrency
  • Networking
  • Data modelling
  • System performance tuning
  • Go
  • Java
  • Python
  • Kubernetes
  • Docker
  • MySQL
  • Cassandra
  • Redis
  • Kafka
  • microservices

The role

A backend engineer at a mobility marketplace designs distributed systems and owns scalable services for real-time dispatch, payments, and pricing, using Go, Java, and Python. This person also applies concurrency and system performance tuning to improve reliability and operational excellence.

Full job description

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.