Top Remote Software Engineer Jobs in Dallas-Fort Worth, TX

As VP of Engineering, lead the engineering team, establish technical direction, and drive product delivery while ensuring high reliability and quality standards.

As a software engineer, you will enhance customer experiences and build tools for restaurant partners, focusing on payments and analytics.

Provide ongoing technical support and development for Oracle NetSuite: maintain and develop SuiteScript 2.x customizations, troubleshoot and resolve script/integration/financial workflow issues, manage deployments across environments, monitor and fix bugs, support third-party integrations, and maintain technical documentation while collaborating with Finance and external partners.

The role focuses on designing and engineering developer and end-user experiences with Feature Flags APIs and UI. Responsibilities include customer feedback, collaboration with teams, and recruitment involvement.

As a Full-Stack Software Engineer, you'll build user-facing features, optimize GraphQL backend, and develop scalable systems, contributing significantly to the company's growth.

As a Founding Software Engineer, you'll design, develop, and maintain robust backend systems, create user-facing AI features, and collaborate with teams to enhance healthcare tools.

The Staff Integrations Engineer will lead the development and delivery of healthcare data integrations across various systems, ensuring performance and reliability while acting as a technical advisor for customers.

The Senior Software Engineer II at Freenome will design and develop reliable backend services, mentor junior engineers, and collaborate with cross-disciplinary teams in a remote setting.

Build and maintain the core backend product: design and implement features, take ownership of end-to-end outcomes, iterate and fix bugs without a QA team, collaborate with product on scoping, and contribute to company culture and hiring.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.