SDE II: Cloud Cost Optimization & Data Pipelines

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 144,000 - 194,000

Full time

12 days ago
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Benefits offered by this job

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

Job summary

Amazon.com LLC is seeking a Software Development Engineer to help build large-scale data systems powering cost-optimization products across AWS services. You will own ingestion layers and data pipelines, collaborating with data scientists to deliver clean, well-labeled signals with tight freshness SLAs across EC2, Lambda, RDS, DynamoDB, and beyond.

Join a team that values secure, reliable, scalable architectures and end-to-end ownership—from design to operations—impacting customer savings at

Qualifications

  • 3 years of non-internship professional software development experience.
  • 2 years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 2 years of software development engineer or related occupational experience
  • 1 year designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1 year of Object Oriented Design experience
  • Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language

Responsibilities

  • Deeply understand the AWS services we optimize — how compute, storage, database, and networking services emit utilization data — and design a high-throughput ingestion layer
  • Design, build, and scale data pipelines and services that collect, clean, aggregate, and label huge volumes of metrics
  • Own systems end to end — from architecture to deployment, monitoring, and operations across many regions, including GovCloud
  • Partner with data scientists and engineering teams to define the data they need and deliver it in clean, well-structured data lakes
  • Solve hard problems around data security, scalability, and cost efficiency, favoring serverless and decoupled distributed architectures
  • Establish and meet ingestion and publishing SLAs, build backfill and data-correction paths, and improve data quality

Skills

3+ years software development
2+ years design/architecture
2+ years SDE/related
1+ year large-scale distributed design
1+ year OO design
Bachelor's degree in CS/Engineering/MA
Experience programming language

Education

Bachelor's degree or foreign equivalent in CS/Engineering/Mathematics

Tools

C#
C++
Java
Perl

Job description

Amazon.com LLC is seeking a Software Development Engineer to help build large-scale data systems powering cost-optimization products across AWS services. You will own ingestion layers and data pipelines, collaborating with data scientists to deliver clean, well-labeled signals with tight freshness SLAs across EC2, Lambda, RDS, DynamoDB, and beyond.

Join a team that values secure, reliable, scalable architectures and end-to-end ownership—from design to operations—impacting customer savings at

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