Top Remote Senior Java Developer Jobs in NYC, NY

As a Senior Mobile Engineer, you'll lead the development of the iOS app using React Native, optimize performance, mentor junior developers, and maintain high code quality standards.

The Staff Software Engineer will design and implement the backend architecture for Marimo's molab, focusing on high availability, low latency, and system stability, while utilizing CoreWeave's infrastructure.

Lead Android migration and launch across Cash Line and Unsecured Installment products. Define mobile architecture, partner with product/design, mentor engineers, deliver high-quality native Android and React Native solutions, and continue as a mobile specialist post-launch to improve performance and scalability.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

The role requires leading a backend engineering team to develop Affirm Card platform solutions, collaborating cross-functionally, and fostering a high-performance culture.

Responsible for building new products, updating existing offerings, leading projects, mentoring, and ensuring quality and alignment in technical implementation. Collaborate with teams to drive projects from ideation to production.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.

The Staff Frontend Engineer will lead frontend architecture, build high-performance React applications, mentor junior engineers, and collaborate closely with product teams to enhance user experiences.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.