Join our Alexa-Central Analytics and R&S team to pioneer machine learning tools and processes that power AGIs data-driven decisions. Youll develop scalable, self-serve analytics
applications used by thousands of engineers and researchers monthly.
What Youll Do
Design and build high-performance data pipelines, micro-services Alexas metrics and analytics PB scaled datasets
Create low-latency web applications serving thousands of monthly active users across entire Alexa organization.
Develop logical data models supporting both operational analytics and strategic 3-year roadmap planning
Ensure data quality, system reliability, and performance optimization for large-scale distributed systems
Collaborate with Data Engineers, ML experts, SDEs, and product managers to define architecture and technical strategy
What Were Looking For
Strong background in building scalable micro-services, web applications, ML models and data engineering
Proven ability to work independently with minimal guidance on complex technical challenges
Track record of shipping valuable software in fast-paced, iterative environments while working with teams across different time zones
Excellent communication skills with both technical and business stakeholders
Nice To Have
UI development experience with React JS
Design collaboration experience with tools like Figma
Machine learning or data science background
Youll have significant influence on our technical direction while working with a focused team to solve challenging problems in conversational AI analytics. We value self-starters who
can translate complex requirements into elegant, scalable solutions.
Key job responsibilities
Design, implement, and operate large scale 24x7 services using Java, Python, and AWS services such as EC2, S3, Kinesis, Lambda, DynamoDB, and many more.
Responsible for the development and maintenance of key back-end components, APIs, data pipelines and data warehouses.
Will work with business and technical stakeholders to determine end-to-end system design and overall technical strategy
Will work with other team members to jointly own and optimize the Alexa AI Analytics data pipelines
Will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
Support and implement operational excellence best practices. Make enhancements that improve data processes (e.g., data auditing solutions, management of manually maintained tables, automating, ad-hoc or manual operation steps).
Help your team self-organize and create software development processes and practices that will work best for you and your teammates.
Will work in an Agile/Scrum environment to regularly deliver high quality software that has a measurable customer value
Build relationships with your customers, partner teams, and the engineers on your team.
Basic Qualifications
3+ years of non-internship professional software development experience
2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
Bachelors degree or equivalent
Preferred Qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelors degree in computer science or equivalent
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.
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