Data & Storage Systems Engineer II — High-Scale Impact

Sway

Sunnyvale (CA)

Hybrid

USD 171,000 - 209,000

Full time

14 days+

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Benefits offered by this job

Bonus program
Benefits package

Job summary

Uber is seeking a Software Engineer II for its Data and Storage teams in Sunnyvale to architect foundational infrastructure powering business decisions and services for millions of users.

You will design, build, test, and optimize storage and data pipelines, handle high-load reliability, and contribute across lifecycle from development to production monitoring. Remote work may be possible with in-office requirements.

Qualifications

  • Bachelor's degree in CS/Engineering/Math or related field with 2 years of relevant experience.
  • C++, C, Python, Java or Go proficiency.
  • SQL or MySQL proficiency.
  • Strong data structures and algorithms knowledge.
  • Production debugging and monitoring skills.
  • Experience with large-scale distributed systems and monitoring.
  • Experience with Spark, HDFS, Yarn, and real-time streaming tools (Flink or Kafka).
  • Cloud experience with OCI/AWS/GCP/Azure.

Responsibilities

  • Design, develop, and test software applications.
  • Design, develop, and/or test software applications using company technology stack.
  • Apply technical knowledge to evaluate complex data, developments, and projects to provide recommendations.
  • Support business operations and improve engineering productivity.
  • Build software components that integrate into a full system.
  • Resolve production issues and improve reliability.
  • May telecommute.

Skills

C++
C
Python
Java
Go
SQL
Data structures
Debugging
Distributed systems
Spark
HDFS
Yarn
Kafka
Flink
AWS
GCP
Azure
OCI

Education

Bachelor's degree

Job description

Uber is seeking a Software Engineer II for its Data and Storage teams in Sunnyvale to architect foundational infrastructure powering business decisions and services for millions of users.

You will design, build, test, and optimize storage and data pipelines, handle high-load reliability, and contribute across lifecycle from development to production monitoring. Remote work may be possible with in-office requirements.

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