Noise is building a new kind of media platform; our goal is to combine data from across the internet with market driven insights to present a uniquely valuable view of the world at a time of peak uncertainty. We're a team of 10 based in SoHo, New York. Open to remote. We look for people with great taste who can ship code, design or convey user needs into delightful products. Responsibilities - Build backend systems for consumer features: feeds, ranking, notifications, realtime, and social surfaces - Make the codebase a place where both humans and agents ship with high confidence - Own services, data flows, and APIs across the core product - Build the infrastructure where correctness and speed both matter: settlement, pricing, and realtime systems with real money on the line - Own and improve the development harness: CI, testing, and observability Qualifications - Uses AI tooling daily to move faster - Sharp instincts for the tradeoff between latency and correctness in financial systems - Proficiency in TypeScript, relational databases, realtime transports, and event-driven data flows across a financial product - Comfortable in a strict monorepo with typed service boundaries and strong conventions - No platform org to hand things off to. You fix the pipeline, improve the container, add the trace - Strong communication skills: async updates, incident postmortems, and knowing when to ask for help Bonus - Familiarity with Effect-TS - Side projects, open source contributions, or startup experience Minimum full-time salary of $160,000-$210,000. Disclosure in accordance with New York City's Pay Transparency Law. Full Time employees at Noise Labs are also eligible for other compensation elements, including equity and benefits, dependent on the position type.

• Develop and maintain distributed, high-availability applications using FastAPI, Flask, Uvicorn, TensorFlow, PyTorch, and OpenCV, connected to a vector database (PostgreSQL), in Cloud Native, containerized Docker environments • Manage code versioning with feature branches using Git Flow, promote branches to QA environments via Azure pipelines, and create branches for production release change management (GMUD) • Expose backend application routes in API Management (APIM)

• Support and continue the development of existing applications • Develop and maintain backend APIs and services • Work with modern frontend interfaces • Assist in incident resolution and bug fixes • Collaborate with the technical team to ensure operational continuity during the engagement

• Design and implement data validation pipelines and model evaluation workflows in a cloud environment (AWS) • Integrate data and metrics into automated, auditable, and scalable workflows • Modularize pipelines to enable reuse, testability, and maintainability • Work in partnership with Data Science, Data Engineering, and Product teams • Ensure best practices for versioning, logging, monitoring, and automated testing • Monitor model performance (drift, cost, accuracy) • Propose continuous improvements to data architecture and validation processes