Top Remote Python Jobs in Houston, TX

Build scalable Python backend services and distributed geospatial data pipelines for sonar and bathymetric datasets. Architect AWS cloud infrastructure, APIs, storage, and edge-processing systems for AUVs. Integrate AI/ML models for target detection and data classification, optimize cloud-native geospatial formats, and contribute to containerization, infrastructure-as-code, and CI/CD. The role bridges real-time onboard processing with post-mission cloud analysis.

Design and build robust backend services and secure APIs for finance and reader applications. Implement authentication, payments, subscriptions, and finance workflows. Design Postgres/Redis schemas, integrate with financial APIs (BSE Star MF, NSE) and DRM services, and ensure compliance-friendly data handling.

Work on real-world web applications across frontend and backend. Use modern frontend frameworks (React/Angular/Vue) and backend tech (Node.js, Python, Java, PHP). Integrate RESTful APIs with databases (MongoDB, PostgreSQL, MySQL), debug, test, optimize performance, and collaborate with designers and product teams while gaining hands-on mentorship.

Join as a full-stack software engineer to design, develop, and maintain web applications and services. Collaborate cross-functionally, write clean code, perform code reviews, debug issues, and stay current with industry trends.

Lead hands-on development of scalable software, APIs, integrations, automations, and core product features. Architect systems, make technical decisions, ensure code quality, optimize performance and security, and collaborate across Product, Design, Data, and Business teams. Mentor developers, conduct code reviews, shape the technical roadmap, and improve engineering workflows, CI/CD, and architecture. The role also explores AI, automation, and API-first technologies in a fully remote startup environment.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Build and ship high-quality product features, design robust architectures, lead technical execution, collaborate on product roadmap with leadership and GTM, and take projects end-to-end from planning through CI/CD and productionization.

Build and ship backend systems and robust architectures for SMB and enterprise restaurant customers. Drive end-to-end development including planning, CI/CD, and productionization. Collaborate on product roadmap, iterate from user feedback, and contribute to team culture and growth.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Build and ship end-to-end features for a restaurant operating system, lead architecture and technical execution, define product roadmap with cross-functional teams, and maintain high-quality CI/CD and productionized systems.

Build and own CRM features and workflow automations supporting sales, marketing, onboarding, and support. Develop full-stack functionality using Next.js, FastAPI, Inngest, and related technologies; partner with teams to automate workflows; create agentic solutions for enrichment and task automation; and manage features from planning through monitoring and refinement. The role requires strong web development expertise, product sense, autonomy, communication, and experience with modern JavaScript or TypeScript frameworks and orchestration tools.

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

Design, build, and operate core cloud-native infrastructure services for NVIDIA DGX Cloud. Develop scalable, secure microservices and automation for provisioning and lifecycle management, integrate internal and external platforms, and implement observability and security to ensure reliable, global production operations.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware upgrades, repair workflows, cluster lifecycle management, BMC and Redfish tooling, and NVIDIA NVL72 and BlueField DPU operations. Diagnose failures across hardware, Linux, networking, and Kubernetes; support incident response, on-call operations, observability, root-cause analysis, and permanent remediation across cloud and on-premises environments.

Build and scale backend data platforms and services for real-time loan origination and financial reporting. Lead quarterly delivery, guide engineers, define technical plans, collaborate with product and design partners, improve reliability and operational practices, monitor service metrics, participate in on-call support, uphold engineering quality standards, and mentor team members. The role requires developing highly available distributed systems and scalable data pipelines using technologies such as Python, Kotlin, AWS, MySQL, Kubernetes, Spark, and Airflow.

Design and deliver development infrastructure systems, maintain CI/CD tools and pipelines, improve GitHub Actions, Docker images, and deployment workflows, and resolve complex on-call issues. The role involves cloud-native engineering, distributed systems, containerization, microservices, generative AI workflows, code reviews, planning, and coaching other engineers.

Leads the architecture and execution of large-scale enterprise migrations to Nutanix HCI. Assesses existing infrastructure, designs target environments, develops migration strategies, and guides engineering teams through deployment, testing, cutover, and stabilization. Responsibilities include cluster architecture, capacity planning, virtualization migration, disaster recovery, backup, performance optimization, risk mitigation, technical documentation, and client-facing design reviews. Serves as the senior escalation point for complex infrastructure, storage, networking, and virtualization issues.

Deploys, configures, migrates, troubleshoots, and optimizes Nutanix HCI environments. Executes enterprise workload migrations from VMware, Hyper-V, and other platforms; manages clusters, storage, networking, replication, backup, disaster recovery, and high availability. Performs readiness assessments, migration cutovers, validation, stabilization, documentation, performance tuning, and knowledge transfer while collaborating with architects, application owners, and infrastructure teams.

Customer-facing engineer who builds demos, prototypes, and workshops to drive pre-sales and adoption of Motorq's connected-vehicle and AI capabilities; partners with sales, customer success, and product teams and travels regularly to customer sites.

Build and manage Ironclad workflows, integrations, automations, reporting, permissions, and secure AI connections across Legal, Finance, RevOps, Sales, and other business systems. Develop reliable API integrations with monitoring, error handling, and retries; improve contract data visibility; administer releases and change management; troubleshoot issues, manage vendors, document processes, and train users.

Performs customer-facing and internal software upgrades, patches, deployments, rollback support, validation, troubleshooting, and cloud migrations. The role also maintains documentation, supports CI/CD tooling and automation, coordinates upgrade schedules, applies security patches, and collaborates with cross-functional teams. This entry-level position develops cloud release engineering skills through mentorship and hands-on work.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

Design and improve observability (monitoring, logging, tracing, SLIs/SLOs), build automation and CI/CD, lead incident response and reliability improvements, mentor SREs, run on-call, and apply AI/ML to operational signals to forecast and reduce risks.