Top Remote Python Jobs in Houston, TX

Design, develop, and administer Power Platform solutions and SharePoint sites; gather requirements, automate workflows, perform data modernization (migrate lists to Dataverse), test, document, train users, and provide ongoing support and governance.

Configure and implement SaaS/COTS platforms, design custom forms/templates/workflows, write and troubleshoot code (JavaScript and other languages), integrate third-party systems and APIs, document use cases and technical specs, and support project planning and testing for system modernization.

Build end-to-end automation and AI agents across identity, endpoint, SaaS, and ITSM systems. Automate onboarding/offboarding, ticket triage, self-service flows, and integrations. Operate and govern Vertex AI agents, establish KPIs, mentor sysadmins, and maintain reliable, auditable automations with security and compliance controls.

Develop and maintain a next-generation platform SDK and API suite. Own development tasks end-to-end, define work items, contribute to quality frameworks, and participate in code reviews to deliver well-tested, performant software.

The Data Engineer will design and maintain ETL pipelines in Azure Databricks, manage data migrations, and ensure data quality and governance.

As a Site Reliability Engineer, you'll build and manage observability platforms for satellite communications, define SLOs/SLIs, and collaborate on incident response and deployment automation.

Lead the design and implementation of APIs, develop data pipelines, and mentor teams on AI integration and Agile methodologies.

The Mid-level Software Developer will design, develop, and enhance software applications, focusing on data integration and cloud environments, particularly using Python and SQL.

This role involves owning and evolving the backend platform for AI employees, mentoring engineers, optimizing system performance, and driving architectural decisions at Supernal.

As an Industrial IoT Systems Engineer, you will integrate factory equipment, design data pipelines, manage industrial servers, and ensure connectivity and security across industrial systems.

Design and operate scalable infrastructure for mining exploration, improving observability and MLOps workflows, supporting engineering teams, and ensuring system reliability.

Develop and enhance software solutions for mineral exploration, collaborating with geologists and data scientists, and driving insights from data systems.

Design and build scalable applications across frontend and backend. Collaborate with teams to deliver user-friendly products and optimize system performance.

As a Gameplay Engineer, you'll design and refine networked gameplay systems, iterate on features, and collaborate with designers and back-end engineers.

Responsible for designing, deploying, and supporting enterprise file storage solutions in Azure, focusing on Qumulo file storage and Azure services, ensuring security, performance, and cost-effectiveness.

As a Senior Implementation Engineer, you'll own technical projects, enhance the Java codebase, automate processes, integrate systems, and collaborate with customers on infrastructure design.

Design, build, and maintain software systems for FuturHealth's platform, focusing on web and mobile applications while collaborating with cross-functional teams to enhance patient experiences.

As a Senior DevOps Engineer, you will design and optimize cloud infrastructure, manage CI/CD pipelines, and ensure system security and scalability in a fast-paced environment.

As a Sr. Software Engineer at VGS, you'll develop and maintain the Credential Management Platform and enhance the Event Pipeline, collaborating across teams to build high-throughput services.

Design and implement scalable cloud infrastructure, monitor performance, automate processes, ensure security and compliance, and lead a DevOps team.

The Senior Backend Engineer will lead AI-focused projects, optimize data pipelines, mentor juniors, and enhance customer support through innovative technologies.

The Sr. DevOps Engineer will manage cloud systems, develop deployment plans, conduct security assessments, and collaborate with the team to optimize operations and automate processes.

The Application Engineer will develop agent-based automation for engineering workflows, integrate agents into systems, and work closely with customers to enhance product capabilities.

The Director of Engineering will lead the Epiq AI Labs team, focusing on hands-on engineering and team management, and will ship production code while mentoring engineers and ensuring quality standards.

The Senior Software Engineer, Infrastructure will enhance Epic's platform reliability, manage GCP infrastructure, and improve CI/CD processes while ensuring observability and security best practices.