Software Engineer: ML & Big Data in Cloud

Amazon Web Services (AWS)

Dallas (TX)

On-site

USD 143,700 - 194,400

Full time

14 days+

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Job summary

Amazon Web Services, Inc. is seeking a Software Development Engineer to design and deliver ML-powered data solutions within the Atlas team of the SMGS-IDEAS org.

You will build scalable, secure microservices and contribute to architecture and data-driven features across AWS services. The role emphasizes first-principles design, strong coding standards, and collaboration across field teams to power AWS customers worldwide.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling).
  • Experience programming with at least one software programming language.
  • Bachelor's degree in computer science or equivalent.

Responsibilities

  • Design solutions to complex and ambiguous data challenges from first principles.
  • Build highly available, secure, distributed systems in microservices and distributed architectures.
  • Apply Machine Learning to solve data problems at scale.
  • Work with AWS technologies (Glue, S3, RedShift, DynamoDB, ElasticSearch, Lambda, SQS, SNS, API Gateway).
  • Apply software development best practices in quality and security.
  • Contribute to planning, design, implementation, testing, operations in a Scrum team.
  • Define system architecture and own components for a data-focused product.

Skills

Software development
System design
Programming languages
Code reviews

Education

Bachelor's degree in Computer Science

Tools

AWS Services
API Gateway

Job description

Amazon Web Services, Inc. is seeking a Software Development Engineer to design and deliver ML-powered data solutions within the Atlas team of the SMGS-IDEAS org.

You will build scalable, secure microservices and contribute to architecture and data-driven features across AWS services. The role emphasizes first-principles design, strong coding standards, and collaboration across field teams to power AWS customers worldwide.

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