SDE, Gale, AGI-Central Analytics and R&S
3 weeks ago
applications used by thousands of engineers and researchers monthly.
What You'll Do:
• Design and build high-performance data pipelines, micro-services Alexa's 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 We're 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
You'll 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
- Bachelor's 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- Bachelor's degree in computer science or equivalent
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
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