Software Engineer, Alexa Central Analytics and R&S

Overview

Join our Alexa-Central Analytics and R&S team to pioneer machine learning tools and processes that power AGI's data-driven decisions. You'll develop scalable, self-serve analytics applications used by thousands of engineers and researchers monthly.

Responsibilities

• Design and build high-performance data pipelines, micro-services for Alexa's metrics and analytics large-scale datasets
• Create low-latency web applications serving thousands of monthly active users across the 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
• Design, implement, and operate large-scale 24x7 services using Java, Python, and AWS services such as EC2, S3, Kinesis, Lambda, DynamoDB, and others
• Develop and maintain key back-end components, APIs, data pipelines, and data warehouses
• Work with business and technical stakeholders to determine end-to-end system design and overall technical strategy
• Collaborate with team members to jointly own and optimize Alexa AI Analytics data pipelines
• Investigate design approaches, prototype new technology, and evaluate technical feasibility
• Support and implement operational excellence best practices; improve data processes (e.g., data auditing solutions, automation of manual steps)
• Help the team self-organize and establish software development processes and practices
• Work in an Agile/Scrum environment to regularly deliver high-quality software with measurable customer value
• Build relationships with customers, partner teams, and fellow engineers

Basic Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience (design patterns, reliability and scaling) of new and existing systems
• Experience programming with at least one software programming language
• Bachelor's degree or equivalent

Preferred Qualifications

• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations

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