Project , Full Stack Engineer - Team Business Platforms

Position: Project Employee, Full Stack Engineer - Team Business Platforms
Location: New York

WORK OPTION:
The NBA currently provides eligible employees the option of working remotely one day per week._________________Position Summary We are seeking a Full Stack Engineer to build a centralized knowledge platform for our partner organizations — a single, role-aware entry point consolidating reporting, a strategy library, and operational applications into one product. We need a driven, curious, and innovative engineer focused on building systems for all NBA teams to leverage in driving revenue, efficiencies and fandom.

You will drive features end to end — interface, API, and the data behind them — in Python and modern JavaScript or Type Script, Microsoft Azure, and AI semantic layers built on the Azure AI platform. This is a build-from-here role with a start-up character inside a large organization: reading unfamiliar systems, empowered decision making and creating institutional product knowledge as you build or ResponsibilitiesPRODUCT ENGINEERINGDesign, build, and ship features end to end — Nuxt-based interfaces, Python backend services deployed as Azure services, REST APIs, and the data models beneath them.

Build search, tagging, and content discovery, including role-aware views that show each organization only what it should see.

Write and optimize SQL across the data ecosystem; build connectors and migration pipelines that move an enterprise document library into a structured, tagged repository RE AI & SEMANTIC LAYERBuild AI semantic layer on the Azure AI platform — retrieval-augmented search and natural-language querying using Azure AI Search and Azure OpenAI models.

Design the ingestion path that makes content retrievable: chunking, embedding, security trimming, and index maintenance.

Drive enablement of business skills, advanced analytics modeling, and fan activation tools within team business platforms.

PLATFORM & WAYS OF WORKINGShare ownership of Azure environments, CI/CD, monitoring, and enterprise identity integration with the engineering team.

Work to engineering team standards — Git and code review, automated testing, containerized local development — and document features, data flows, and inherited configuration as you go.

Partner with product management and communicate clearly with non-technical colleagues across marketing, business operations, and analytics.

Required Education / Professional Experience Bachelor's degree, or equivalent practical experience.

Demonstrated experience shipping production web applications as part of an engineering team, including both user-facing interfaces and the services behind them.

Demonstrated experience building and running applications on Microsoft Azure, including at least one production workload using Azure AI services.

Required Skills / Knowledge Attributes Hands-on experience with the Azure AI platform — Azure OpenAI Service, Azure AI Search, and Azure AI Foundry — used to build a retrieval-augmented or natural-language application that real users depend on. Depth here is a primary requirement of this role.

Working command of the surrounding Azure stack: compute, storage, managed databases, secrets, and Microsoft Entra  a consumer of it.

Proficiency in Python, and strong skills in Type Script with a modern frontend framework.

REST API design, and strong SQL against relational databases and cloud data platforms.

Practical understanding of AI application patterns — RAG, embeddings and vector search, semantic layers, tool calling, evaluation, and grounding.

Strong Git and collaborative development practice, including CI/CD and written documentation.

Ability to work in an unfamiliar codebase and cloud environment: read it, extend it safely, and document what you find.

Comfort in an early-stage, start-up-style team — owning work independently…