Distributed Systems Engineer – Real-Time Data Platform

Amazon

Bellevue (WA)

On-site

USD 144,000 - 194,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
RSUs

Job summary

Amazon.com Services LLC in Bellevue, WA seeks a software engineer to build a real-time data platform powering its fulfillment network. You will design distributed systems, ingest time-series data from industrial hardware and software, and deliver APIs and dashboards used by thousands of teams.

You'll own problems end-to-end—from design to production operations—impacting delivery reliability and facility performance on peak days. High-scale, hands-on environment.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of design or architecture experience on large systems.
  • 1+ years of software development engineer or related experience.
  • 1+ years of designing and developing large-scale distributed software.
  • 1+ years of OO design experience.
  • Bachelor's degree or foreign equivalent in CS, Engineering, Mathematics, or related field.
  • Experience programming in at least one language.

Responsibilities

  • Design and build distributed systems at massive scale.
  • Process high-velocity time-series data streams and build efficient storage.
  • Create APIs accessible to thousands of users.
  • Work on data ingestion pipelines from industrial hardware and software.
  • Migrate storage architectures to improve reliability and latency.

Skills

C++
C#
Java
Perl
Object Oriented Design
Distributed systems

Education

Bachelor's degree in CS/Engineering/Math

Job description

Amazon.com Services LLC in Bellevue, WA seeks a software engineer to build a real-time data platform powering its fulfillment network. You will design distributed systems, ingest time-series data from industrial hardware and software, and deliver APIs and dashboards used by thousands of teams.

You'll own problems end-to-end—from design to production operations—impacting delivery reliability and facility performance on peak days. High-scale, hands-on environment.

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