Highlight
Summary
About the Role
About You
- 5+ years of cloud architecture and implementation experience.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience leading technical teams with a focus on data, software, or ML engineering.
- 5+ years of experience developing predictive modeling, natural language processing, and deep learning.
- 5+ years of experience with SQL, Python, and at least one additional programming language.
- Proficiency in a range of AWS services such as SageMaker, EC2, and CloudFormation.
- AWS Professional certifications like Solutions Architect Professional.
- Experience with automation tools and Infrastructure as Code.
- Knowledge of security and compliance standards like HIPAA and GDPR.
- Strong communication skills to explain complex concepts to diverse audiences.
Benefits
- Competitive salary ranging from $138k to $239k based on geographic location and experience.
- Comprehensive benefits package including medical, financial, and other perks.
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.