Top Remote Software Engineer Jobs in Houston, TX

Lead and grow a high-performing engineering team, partner with stakeholders to ensure the right problems are solved, guide technical decisions and architecture, improve processes and remove bottlenecks, balance long-term investments with near-term delivery, and foster ownership and continuous improvement in a remote, distributed environment.

As a Senior Backend Developer, you'll design and maintain high-volume pipelines and databases, implement ETLs for automated abuse-prevention, and develop monitoring solutions while collaborating with teams on safety systems.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

Responsible for installing, configuring, and optimizing SAP environments, ensuring system reliability and security, and troubleshooting Basis-related issues.

The Senior Bilingual Software Engineer will align U.S. teams with the Platform Core team in Japan, focusing on high-impact problems and maximizing platform leverage through clear communication and collaboration.

Design, develop, test, and maintain backend services using Java and Python within a microservices architecture. Collaborate with architects, product owners, and infrastructure to deploy containerized applications, tune performance, implement CI/CD, and support production systems. Participate in code reviews, agile ceremonies, and technical design to deliver scalable, high-quality solutions.

The Engineering Manager will mentor a team of engineers, improve processes, collaborate with product managers, and define staffing strategies.

As a Senior Software Engineer, you will design and implement AI technologies to address complex logistics challenges and mentor team members.

As a Full Stack Engineer, you will develop backend APIs using Django and integrate front-end components in React, collaborating with cross-functional teams to deliver optimized product features.

Design, build, and maintain scalable real-time and historical data pipelines and libraries; implement APIs, data quality checks, monitoring, and performance-optimized workflows; collaborate with autonomy, platform, and front-end teams to support fleet data analysis and visualization.