SDE, Gale, AGI-Central Analytics and R&S
SDE, Gale, AGI-Central Analytics and R&S
Posted on :
19-09-2025
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1 Vacancy
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Job Description
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.
- 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
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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.
- 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
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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