Sr. Software Dev Engineer, Music Catalog

Amazon.com Services LLC; Seattle (WA); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Sign-on payments

Job summary

Amazon Music Catalog team in Seattle is seeking a senior software engineer to own the technical direction for major features in our developer experience portfolio. You will guide engineering practices across the codebase and infrastructure while mentoring SDE 1 and SDE 2 engineers and collaborating with Principal Engineers on architecture.

You will help build automation, design scalable APIs, and scale GenAI/ML solutions in production, partnering with Applied Scientists, PMs, and other engineers

Qualifications

• 5+ years of non-internship software development experience.
• 5+ years of programming experience in one or more software languages.
• 5+ years of experience leading design or architecture of systems with emphasis on design patterns, reliability, and scalability.
• Experience mentoring others, serving as a tech lead, or leading an engineering team.
• Experience developing and deploying LLMs in production on GPUs, Neuron, TPU, or similar AI acceleration hardware.
• Strong grasp of ML and LLM fundamentals, including architecture, training/inference lifecycles, and model execution optimization.
• 5+ years of full SDLC experience including coding standards, code reviews, source control, build processes, testing, and operations.
• Bachelor's degree in computer science or equivalent background.

Responsibilities

• Lead the technical direction for major features and products within our developer experience portfolio.
• Set engineering best practices and guide technical choices across codebase and infrastructure.
• Mentor SDE 1 and SDE 2 engineers by conducting design reviews and offering hands-on support.
• Partner with Principal Engineers to solve complex problems and align on architecture.
• Build automation that reduces toil and improves developer productivity.
• Design APIs and frameworks that other teams can use to create productivity solutions.
• Ensure solutions are scalable, maintainable, and operationally excellent.
• Develop, deploy, and scale GenAI and ML solutions in production.
• Own model-building efforts for production and deliver AI/ML outputs into systems and services.
• Collaborate with Applied Scientists, SDEs, PMs, and TPMs.
• Work with teams to understand pain points and requirements.
• Validate technical approaches with Principal Engineers and incorporate feedback.
• Shape roadmaps with managers and senior engineers and prioritize initiatives.
• Influence technical decisions across partner teams.
• Present designs and results to leadership and stakeholders.

Skills

Software development

Programming languages

Leadership / tech lead

ML / LLMs

GPU / AI acceleration

Mentoring engineers

Education

Bachelor's degree in CS

Tools

Git

CI/CD

TensorFlow

PyTorch

Job description

Requirements

Must have:

• We need at least 5 years of non-internship professional software development experience.
• We need at least 5 years of programming experience in one or more software languages.
• We need at least 5 years of experience leading the design or architecture of new and existing systems, with emphasis on design patterns, reliability, and scalability.
• We need experience mentoring others, serving as a tech lead, or leading an engineering team.
• We need experience developing and deploying LLMs in production on GPUs, Neuron, TPU, or similar AI acceleration hardware.
• We need a strong grasp of machine learning and large language model fundamentals, including architecture, training and inference lifecycles, and model execution optimization.
• We prefer candidates with 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• We prefer a bachelors degree in computer science or an equivalent background.

Responsibilities:

• We will lead the technical direction for major features and products within our developer experience portfolio.
• We will set engineering best practices and guide technical choices across our codebase and infrastructure.
• We will mentor SDE 1 and SDE 2 engineers by conducting design reviews and offering hands‑on technical support.
• We will partner with Principal Engineers to solve complex technical problems and align on architecture.
• We will build automation that reduces toil and improves developer productivity.
• We will design APIs and frameworks that other teams can use to create productivity solutions.
• We will ensure our solutions are scalable, maintainable, and operationally excellent.
• We will develop, deploy, and scale GenAI and ML solutions in production.
• We will own model-building efforts for production and deliver AI/ML outputs into systems and services.
• We will work closely with Applied Scientists, SDEs, Product Managers, and Technical Program Managers.
• We will collaborate with teams across the organization to understand pain points and requirements.
• We will validate technical approaches with Principal Engineers and incorporate feedback.
• We will work with our manager and senior engineers to shape roadmaps and prioritize initiatives.
• We will influence technical decisions across partner teams.
• We will present technical designs and results to leadership and stakeholders.

Company:

We are the Amazon Music Catalog team, responsible for persisting, computing, reconciling, and serving music rights and metadata to teams and services across Amazon. Our systems handle hundreds of millions of updates each day and serve tens of thousands of requests per second for Amazon Music customers, powering highly available and accessible catalog platforms. We work on challenging, large-scale problems at the intersection of distributed systems, data pipelines, and applied ML/AI. Amazon Music is an immersive audio entertainment service that connects fans, artists, and creators through personalized playlists, podcasts, livestreams, and merch. We offer multiple listening tiers, including benefits for Prime members, Amazon Music Unlimited, and free listening through the app or Alexa-enabled devices. We also provide comprehensive benefits, including health coverage, 401(k) matching, paid time off, parental leave, and compensation with base pay, sign‑on payments, and RSUs.