Jobs · Consulting · Washington

Sr. Software Dev Engineer, Amazon Music Catalog

Amazon Music · Seattle, WA · 2 wk ago
ConsultingFull-time

About the role

The Amazon Music Catalog team is responsible for persisting, computing, reconciling and vending Music rights and metadata to other teams and services across Amazon. We process hundreds of millions of updates per day and our services serve tens of thousands of requests per second to all Amazon Music Customers. We own critical platforms that make access to the Amazon Music Catalog highly available and accessible to everyone. We are solving world-class problems that haven't been tackled before!

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

  • 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

Benefits

Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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