Top Remote Python Jobs in Houston, TX

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.

Design, build, and maintain scalable Azure data pipelines and platforms using Azure Databricks, Synapse, Data Factory, and Microsoft Fabric. Implement IaC (Bicep/ARM/Terraform), CI/CD with Azure DevOps, monitor platform stability, optimize Spark jobs, and collaborate with architects and stakeholders to meet business requirements.

Design, implement, and maintain automated and manual tests across unit, component, integration, and end-to-end levels. Build scalable test frameworks, automate UI and API tests, run performance/load tests, produce test reports, report regressions, and collaborate with agile teams to influence design and ensure product testability and scalability.

Design, build, and maintain scalable production data pipelines and APIs in a Databricks/Spark environment. Integrate and transform diverse health, financial, and operational datasets into reusable data products, implement data validation and governance, optimize pipeline performance, and collaborate with engineers, architects, and stakeholders to deliver reliable analytics datasets and platform capabilities.

Lead design and development of cloud solutions, provide technical leadership and mentorship, evaluate new technologies, ensure compliance with standards, and solve complex application and systems problems to deliver high-quality, secure cloud services.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.

Design and deliver scalable, secure data platforms and architectures (Databricks/cloud) for customers. Split time between billable and pre-sales, lead solution design, mentor teams, ensure data governance and security, validate ETL/data pipelines, produce documentation and presentations, and manage multiple customer accounts to deliver production-ready data solutions.

Lead design and implementation of Doowiis frontend, backend, and data systems. Define architecture, build scalable ingestion and analytics pipelines, optimize storage and query performance, ship AI-driven features (LLM/text-to-SQL, embeddings), improve observability and deployment, and mentor engineers while partnering with product and ML teams.

Own and evolve the Core Platform architecture: design and operate scalable APIs, event-driven distributed services, SDKs and AI-integrated workflows. Ensure reliability, observability, performance, and security; provide technical leadership, mentor engineers, and drive best practices.

Build scalable backend services and data pipelines to process large healthcare datasets, integrate and optimize LLM-driven features, implement observability and best practices, collaborate across frontend, data, and AI teams, and own end-to-end feature delivery for production systems.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Lead development of spacecraft Guidance, Navigation, and Control systems through full lifecycle: requirements, design, simulation, algorithms, flight software, and verification. Develop simulation tools, drive reuse of heritage Airbus products, support subsystem requirements and integration, and optimize designs for cost, manufacturability, and testing. Collaborate cross-functionally across spacecraft, payload, and launch integration activities.

Design, deploy, manage, and troubleshoot high-performance InfiniBand and Ethernet networks for HPC. Perform performance tuning, capacity planning, and monitoring. Implement Fortinet security, resolve routing/switching/latency issues, collaborate with compute and storage teams, document architectures, and participate in on-call escalation and upgrades.

Optimize end-to-end GPU performance for real-time autonomous driving workloads: develop and optimize parallel GPU algorithms and inference pipelines, profile and eliminate bottlenecks across computation and memory, debug GPU software for latency/throughput improvements, and collaborate on onboard GPU software architectures for embedded platforms.

Lead mechanical systems design for industrial thermal-fluid equipment from concept through fabrication and field support. Create and review P&IDs, CAD models, specs, and vendor engagements, improving operability, reliability, and cost while working across disciplines and with suppliers and fabricators.

Build and maintain the AI-powered learning platform across a TypeScript/React frontend and Python/FastAPI backend. Integrate LLMs for classification, extraction, personalization, and conversation practice. Design scalable APIs, develop real-time interactive features, apply AI-assisted development workflows, write well-tested code, and collaborate with product, design, and education teams to optimize learning experiences and A/B tests.

Design, implement, and maintain Atlassian/ALM toolchains and CI/CD build/deployment environments. Administer systems (Linux/Windows), version control (Git), DevOps practices, and support database deployment/tuning. Collaborate on Agile teams and automate deployments using CI/CD tools.

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

Build and scale backend services for identity, access control, secure content sharing, and data access. Contribute to Dgraph internals, collaborate with platform and infrastructure teams, drive architecture and permissions models, and write high-quality Go and Python code focused on reliability, security, and performance.

The HPC Engineer will manage HPC software, support customers, optimize performance, advocate for customer needs, and innovate automation solutions.

Deploy, maintain, and automate application infrastructure on GCP using Kubernetes, Docker, Helm, ArgoCD, and Terraform. Build automation pipelines, support and troubleshoot in-house and third-party apps, document processes, and participate in on-call rotation.

As a Software Engineer, you'll develop and deploy software for cyber defense, handle digital twin model construction, and perform site reliability operations.

Lead design, implementation, and delivery of software via CI/CD; maintain and optimize applications; drive architecture, code reviews, testing, security, and PCI DSS compliance; mentor engineers and lead scrum team activities.