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Summary
About the Role
About You
- 3+ years cloud architecture and implementation experience.
- Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years in data, software, or ML engineering with strong understanding of distributed computing.
- 3+ years developing predictive modeling, natural language processing, and deep learning.
- 3+ years developing with SQL, Python, and at least one additional programming language.
- Proficiency in a range of AWS services (e.g., SageMaker, EC2, ECS).
- AWS Professional certifications (e.g., Solutions Architect Professional).
- Experience with automation and Infrastructure as Code.
- Knowledge of common security and compliance standards.
- Strong communication skills to explain complex concepts.
Benefits
- Competitive salary ranging from $118k to $204k based on location and experience.
- Comprehensive benefits package including medical, financial, and other benefits.
- Opportunities for mentorship and career growth.
- Work-life balance with flexible working culture.
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.