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

Lead design and delivery of full-stack basketball scoring, statistics, and postgame features. Build scalable backend services and APIs with TypeScript and Node.js, develop React web experiences, support iOS and Android products, and make architectural decisions. Collaborate across product, design, and engineering teams, ensure code quality and system reliability, mentor peers, and contribute to technical standards and tools.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Owns the full lifecycle of operational software products, from concept through production. Builds and tests reliable, user-focused features; scales prototypes; triages issues and identifies root causes; and partners with product teams, mission engineers, architects, and end users to deliver effective solutions. The role requires strong React, TypeScript, and Python skills, performance optimization experience, and collaboration across technical and non-technical stakeholders.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Build, optimize, and maintain software systems using AI while collaborating across disciplines on healthcare technology. Develop distributed, event-driven systems, learn new languages and frameworks, and protect user privacy through data security and HIPAA-compliant practices. The role works with AWS, Kubernetes, and large-scale medical datasets in a fast-paced, mission-driven environment.

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.

Own the design and implementation of native iOS and Android SDKs supporting mobile device intelligence and fraud detection. Investigate complex systems-level engineering problems, evaluate platform behavior and technical tradeoffs, collaborate with Product, Engineering, Data Science, Fraud Intelligence, and Sales, and establish SentiLink’s mobile engineering capabilities.

Build and scale the PSA Liquidity Platform connecting buyers and sellers across PSA Partner Offers and eBay Consignment. Responsibilities include developing buyer tooling, pricing and ranking engines, seller experiences, microservices, distributed event-driven systems, and observability. The role owns end-to-end product delivery, cross-functional execution, technical architecture, ecosystem integrations, and production outcomes while using AI throughout the software development lifecycle.

Owns end-to-end EDI integration implementations, including requirements analysis, mapping, development, testing, deployment, monitoring, troubleshooting, and post-production support. The role develops data transformations and integrations across enterprise systems, manages trading partner implementations, ensures production readiness, and collaborates with business and product teams. It also serves as an integration subject matter expert, mentors specialists, and supports standardized, high-quality integration practices.