Full Stack Engineer

Downtown Music•Nashville, TN

2d•$150,000•Onsite

About The Position

Downtown Music Publishing is looking for a driven individual to join us as a Full Stack Software Engineer to help build our next-generation music publishing platform from the ground up. You'll help in shaping the architecture, tooling, and engineering culture of a catalog management platform that powers musical work registration, rights tracking, and royalty collection for publishers worldwide. Currently seeking candidates local to the Nashville Area.

Requirements

Bachelor's degree in computer science, software development, or equivalent experience.
5+ years of experience developing web-based software solutions.
Experience architecting new systems or services from scratch — you're comfortable with ambiguity, and you document the "why" behind decisions, not just the "what."
Strong proficiency in TypeScript and Node.js across the full stack.
Solid relational database fundamentals: schema design, migrations, transactions, and query performance in PostgreSQL (or similar).
Experience with both traditional software development lifecycle and agentic software development — including spec-driven development, AI-augmented engineering, and working effectively with coding agents.
Interest in the music industry — prior experience with rights management, royalties, or metadata standards (CWR, DDEX, ISWC/ISRC) is a plus, not a requirement.

Nice To Haves

Significant experience with some of the following technologies or similar tools: Backend: Node.js, GraphQL (Apollo Server, schema-first), PostgreSQL, etc. Frontend: React, Next.js, TypeScript, modern state management (e.g., Zustand) AI/Agents: Vercel AI SDK, SpecKit, CodeX, Amazon Bedrock, Model Context Protocol (MCP), LLM tool design. Infrastructure: AWS (including CDK), Docker, Terraform, GitHub Actions Testing: Vitest, Testcontainers (integration testing against real databases), Playwright Observability: Datadog, Sentry, structured logging

Responsibilities

Build a new platform from first principles — data model, API design, and infrastructure — rather than maintaining legacy systems, while making pragmatic decisions that hold up at production scale.
Design and implement a schema-first GraphQL API (Apollo Server) over PostgreSQL, including multi-tenant data isolation (row-level security), type-safe query layers, and performance patterns like DataLoader batching.
Develop React/TypeScript (Next.js) interfaces used by both internal teams and clients to manage catalogs, registrations, and data-quality workflows.
Build AI-native features as a core part of the product: AI-assisted data ingestion and matching, agent-accessible APIs via Model Context Protocol (MCP), and LLM-powered workflows using the Vercel AI SDK and Amazon Bedrock.
Work in an AI-augmented, spec-driven development workflow — architecture specs, agent-assisted implementation, and rigorous automated review are how the team ships, not an experiment on the side.
Own components end-to-end: design, implementation, integration testing against real databases, deployment (AWS CDK), and operational responsibility.
Model and implement music publishing domain logic — works, writers, shares, agreements, and society registration formats (e.g., CWR) — with the precision that financial and rights data demands.