Cloud Data & ML SDE — Scale & AI-Driven Systems

Amazon

Austin (TX)

On-site

USD 144,000 - 194,000

Full time

16 hours ago
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Benefits offered by this job

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

Job summary

Amazon AWS is seeking a Software Development Engineer to design and deliver data-driven solutions at scale in Seattle. You will build scalable ingestion pipelines and secure distributed systems, using Lambda, S3, Glue, and CDK, while applying ML to real-world data challenges.

You will work with a Scrum team to drive planning, design, implementation, testing, and operations, delivering trusted intelligence to GTM teams worldwide.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 1+ years of software design or architecture (design patterns, reliability and scaling).
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
  • Experience with distributed systems and scalable data processing.

Responsibilities

  • Design, develop, and maintain scalable data ingestion solutions for large-scale datasets.
  • Build highly available, secure, distributed systems in microservices and containers.
  • Develop serverless applications using AWS Lambda, S3, CloudWatch, and Glue.
  • Apply Machine Learning to solve challenging data problems at scale.
  • Collaborate with Scrum team across planning, design, and testing activities.

Skills

Software development
Architecture design
OO design
Distributed systems
Cloud computing

Education

Bachelor's degree in Computer Science or related field

Tools

AWS services
AWS CDK
Lambda
S3
Glue

Job description

Amazon AWS is seeking a Software Development Engineer to design and deliver data-driven solutions at scale in Seattle. You will build scalable ingestion pipelines and secure distributed systems, using Lambda, S3, Glue, and CDK, while applying ML to real-world data challenges.

You will work with a Scrum team to drive planning, design, implementation, testing, and operations, delivering trusted intelligence to GTM teams worldwide.

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