Top Remote Senior Level Front-End Developer Jobs in Pittsburgh, PA

Lead and mentor teams to develop and deploy data solutions using Palantir Foundry, ensuring project success and client satisfaction.

As an Engineering Manager, you will lead the Runner team, enhancing the Zap Execution platform's performance and reliability while mentoring senior engineers and collaborating with internal stakeholders.

Design and build a new SDK for Zapier, ensuring it's scalable and user-friendly, while supporting both internal teams and external developers. Lead initiatives, establish best practices, and enhance developer experience.

Develop and maintain scalable backend systems for managing staked assets, ensuring secure operations and high-quality code while collaborating with cross-functional teams.

The Staff Frontend Engineer will architect, build, deploy and monitor ChowNow's frontend applications, focusing on quality and collaboration across teams to enhance product offerings.

Design and implement algorithms for route optimization and related problems. Collaborate on software solutions to enhance telematics platform efficiency.

Looking for a Software Engineering Manager to lead engineering teams, promote best practices, and deliver high-quality software. Responsibilities include team development, process optimization, and cross-functional collaboration.

Lead the data platform engineering team, focusing on designing and building scalable data pipelines, warehouses, and APIs for internal developers. Drive team collaboration, improve developer experience, and manage a growing team responsible for core data solutions.

You will implement new features and enhancements for mainframe offerings, collaborating with a remote team and supporting existing functionalities while emphasizing performance.

Lead and mentor in NetSuite development, designing, developing, and implementing custom solutions, collaborating with clients, and maintaining high coding standards.

Lead the data engineering function by designing and maintaining data infrastructure, developing ETL/ELT pipelines, ensuring data quality, and collaborating with other teams on data integration for analytics and AI applications.