Top Remote Software Engineer Jobs in Houston, TX

Lead frontend development across web and mobile experiences, architecting reusable components, design systems, responsive interfaces, and core user flows. Optimize performance, accessibility, rendering, and conversion while integrating REST and real-time APIs. Collaborate with backend, product, and design teams in two-week sprints, contributing to architecture, testing, monitoring, CI/CD, code reviews, and continuous delivery.

Leads engineering teams building and shipping scalable products, while coaching engineers, shaping strategy and roadmaps, maintaining engineering standards, recruiting talent, and supporting career development. Partners cross-functionally with product, design, infrastructure, marketing, and operations to solve complex problems, manage multiple high-impact initiatives, optimize systems and processes, and deliver excellent user experiences.

Lead the Data Platform team in building reliable, scalable infrastructure and developer tooling for data engineering, analytics, and data science. Define the technical roadmap with engineering leadership, guide architecture and best practices, contribute hands-on through design reviews and coding, and partner cross-functionally to shape platform capabilities. Hire, coach, and develop engineers while managing stakeholder communication and delivery of self-service, observable, and governed data systems.

Develop, test, implement, optimize, and maintain scalable software systems. Collaborate with product managers, designers, and engineers; troubleshoot technical issues; conduct code reviews; contribute to architecture decisions; follow secure coding practices; and participate in Agile ceremonies.

Build full-stack AI-powered video creation and collaboration tools, including rich multimedia interfaces, backend APIs, server-side processes, LLM-powered features, and conversational experiences. Work with generative AI, computer vision, and machine learning models in production. Improve system performance, reliability, and code quality while rapidly prototyping and delivering product features in a collaborative, high-ownership environment.

Develops, configures, deploys, and supports secure, reliable, scalable production software. Collaborates with UX, engineering, product management, and agile teams; writes code and scripts for infrastructure automation, monitoring, testing, and resiliency; configures commercial solutions; and creates dashboards, logging, and alerting. The role also contributes to quality standards, change control, root-cause analysis, and continuous professional learning.

Lead delivery and technical execution for an AI-driven pipeline integrity platform spanning data architecture, engineering, data science, application engineering, and QA. Remain hands-on through coding, design reviews, prototyping, debugging, and quality oversight. Manage compliance, security, audit readiness, release planning, hiring, team development, and cross-functional collaboration. Ensure platform outputs are traceable, reproducible, secure, and delivered predictably against phased milestones.

Leads software design, architecture, development, testing, deployments, production support, and technical debt reduction for WEX Health applications. Mentors engineers, coordinates cross-functional delivery, reviews code, and guides feature lifecycles. Uses AI-assisted development practices, including GitHub SpecKit, model selection, MCP integration, prompt engineering, automated testing, refactoring, and governance of AI-generated code. Requires strong C#, ASP.NET MVC, SQL, DevOps, infrastructure-as-code, communication, and leadership skills.

Build, deploy, and support secure, scalable full-stack healthcare payment applications. Own front-end, service, backend, analytics, data pipelines, CI/CD, cloud deployment, observability, performance optimization, production incidents, and compliance. Collaborate with product, data, DevOps, QA, business, and client teams to deliver reliable features and platforms across hybrid cloud and on-premise environments.

The Software Engineering Manager will lead and optimize data transformation projects using AI, collaborate with various teams, and ensure project delivery while balancing technical debt and new features.