Amazon

DESCRIPTION

Do you want to help make Alexa smarter for our users? How about developing massive scale Datalake that can help improving people's day-to-day life such as grocery ordering, music playing, smart home control, etc? At Alexa's Data Services team, we build services that enable secure, fast, and massive machine learning systems, helping to make Alexa the world's fastest developing and most engaging voice assistant. Alexa Data services ingest data at the exabyte scale, enable ML components to discover data and create streaming data preparation pipelines for continuous training. Data is the fuel to Alexa's AI future, Alexa Data Services team owns and builds systems that can make this happen at scale, as well as treat customer's privacy seriously.

We're an organization that takes career growth seriously. Our managers and leadership care about your personal goals. We value open communication, whether its in regards to what you need to accomplish for your career goals or what we as an organization can improve to better support our teammates and provide the best possible work environment. We foster collaborative working environment, build good relationships with each other, and encourage knowledge sharing throughout our organization. We help team members when they feel stuck and we want to make sure everyone feels included.

What You'll Do

• Design and build high-performance services handling large transactions
• Develop secure, scalable data ingestion systems operating at exabyte scale
• Create streaming data preparation pipelines supporting continuous ML training
• Collaborate with ML scientists to optimize data infrastructure

Our Technology Stack

• Programming Languages: Java, Python
• Cloud Platform: AWS
• Focus Areas: Data Lakes, Microservices, Machine Learning Infrastructure

What We Offer

• Career Growth: Dedicated leadership support for your professional development
• Collaborative Culture: Open communication and knowledge sharing environment
• Learning Opportunities: Exposure to cutting-edge ML and AI technologies
• Meaningful Impact: Build systems that improve millions of users' daily lives

What We Value

• Customer Obsession: Passionate focus on user needs
• Technical Excellence: Building robust, scalable solutions
• Data Privacy: Commitment to protecting customer information
• Team Collaboration: Supporting and learning from colleagues

Requirements

• Strong software development experience in Java and/or Python
• Experience with distributed systems and cloud platforms
• Understanding of data processing and storage systems
• Excellent problem-solving and communication skills

BASIC 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
• Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.