About the job
We are seeking a Senior Software Development Engineer (Sr. SDE) to join the Music Catalog team and drive the design and evolution of scalable, high-performance catalog systems. In this role, you will work at the intersection of large-scale distributed systems, data pipelines, and applied ML/AI, building platforms that power metadata ingestion, content intelligence, and catalog serving at Amazon scale.
Responsibilities
Lead the technical direction for major features and products within the developer experience portfolio
Drive technical decisions and establish best practices for your team's codebase and infrastructure
Mentor SDE 1s and SDE 2s, conducting design reviews and providing technical guidance
Partner with Principal Engineers to solve complex technical challenges and align on architectural approaches
Create automation solutions that measurably reduce toil and improve developer workflows
Design APIs and frameworks that other teams can leverage to build their own productivity solutions
Ensure your solutions are scalable, maintainable, and operationally excellent
Develop, deploy and scale robust GenAI and ML solutions in production environment
Own building models for production and feed AI/ML outputs to systems and services by closely partnering with Applied Scientists, SDEs, Product Managers and Technical Program Managers
Partner with teams across the organization to deeply understand their pain points and requirements
Work with Principal Engineers to validate technical approaches and incorporate feedback
Collaborate with your manager and other senior engineers to define roadmaps and prioritize initiatives
Influence technical decisions across partner teams
Present technical designs and results to leadership and stakeholders
Qualifications
Minimum
5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Preferred
5+ 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