Top Remote Python Jobs in Houston, TX

As a Simulation Backend Engineer, you'll design and optimize backend systems for distributed simulation workloads, ensuring high efficiency and reliability.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.

Develop and deploy options pricing and execution models for digital asset derivatives. Research volatility dynamics and microstructure, build backtests handling path dependency and costs, design hedging and delta management, collaborate with engineers to move strategies into live infrastructure, and monitor real-time Greeks and P&L to iterate on models.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

Lead architecture and operation of AWS infrastructure using Terraform, enforce cloud security and SRE best practices, build secure CI/CD with GitHub Actions, own production reliability and incident response, mentor engineering teams, and drive cross-functional platform strategy and automation.

Serve as an embedded Linux expert on customer projects: design and refactor real-time architectures, develop Linux kernel drivers, debug low-level hardware/software issues, optimize kernel performance, collaborate with customers and internal teams, lead technical efforts, produce high-quality deliverables, and create technical proposals to support product lifecycle and certification.

The Software Engineer will build features across the stack, design AI/LLM-driven workflows, translate requirements, and collaborate closely with the founding team and customers.

Lead a cross-functional engineering team to design and deliver SMART on FHIR applications embedded in EMR workflows. Champion AI-driven, agent-assisted development, collaborate with data engineering on Python/dbt/SQL pipelines, implement engineering best practices, and manage hiring, mentorship, and stakeholder communication while ensuring quality, reliability, and interoperability.

The Senior Full-Stack Software Engineer will design, build, and scale backend services and APIs for financial transactions while collaborating with frontend engineers and contributing to technical design.

The role involves architecting and operating NVIDIA's cloud-native attestation platform, developing high-availability services, collaborating with cross-functional teams, and mentoring engineers.

Develop and ship backend and frontend features that improve school-family communication. Collaborate with product and design, champion AI/LLM-driven workflows, build scalable secure services on AWS, evolve monolithic systems, participate in code reviews, and help shape architecture.

Design, build, and operate scalable AWS-based platform infrastructure for data processing. Improve pipeline automation, monitoring, security, and reliability. Lead CI/CD, IaC (Terraform/Scalr), network design, and incident response; collaborate with cross-functional teams and participate in on-call rotation. Integrate AI tools to streamline development and troubleshooting.

Lead embedded Linux platform enablement for Nabu Casa hardware: maintain and improve Buildroot-based OS support, perform board bring-up, debug platform-level issues, optimise performance and reliability, upstream patches to open-source projects, maintain CI for builds, and document platform architecture and procedures while collaborating with hardware teams and open-source communities.

Define and drive full-stack architecture and technical vision across teams, write high-quality production code, lead zero-to-one projects, productionize ML systems, own reliability and SLOs, mentor senior engineers, and align engineering roadmaps with product and company strategy.

Lead and evolve secure, automated cloud platforms and CI/CD pipelines using IaC, containers, and Kubernetes. Integrate security tooling, mentor engineers, optimize cloud cost and reliability, and produce technical documentation while supporting Generative AI development workflows.

Lead backend and full-stack engineering strategy, design and deliver scalable, secure distributed systems and microservices for government customers. Drive architecture, data design, observability, CI/CD, cloud-native patterns, mentoring, and large modernization initiatives while collaborating with product and stakeholders.

Design, develop, and document Salesforce solutions (Apex, LWC, Visualforce) and integrations; lead small developer teams; build APIs, data migrations, and test plans; ensure code quality and mentor others while evaluating and adopting AI-enabled tools.

The Senior DevOps Engineer will build secure, scalable infrastructure on AWS, manage Kubernetes platforms, and oversee FedRAMP-related tasks while ensuring compliance and operational efficiency.

As a Senior SDET, you will enhance testing practices, improve CI pipelines, mentor engineers, and ensure platform reliability through comprehensive testing strategies.

Manage a team of cloud engineers to govern and optimize a multi-cloud environment while implementing security frameworks and managing vendor relationships.

The Site Reliability Engineer will lead technical initiatives, architect solutions, troubleshoot issues, mentor team members, and improve observability practices.

Develop, enhance, and maintain enterprise web-based GIS applications, dashboards, APIs, and geospatial services. Integrate GIS with enterprise systems, support ArcGIS Enterprise, assist modernization to cloud, perform testing, troubleshooting, deployment, documentation, and user support within federal environments.

Lead a small team owning GFiber's multi‑terabit backbone design, reliability, capacity planning, and observability across IP and optical layers. Drive DWDM metro/long‑haul transport design, telemetry pipelines, automation tooling (Go/Python), and align team strategy with organizational goals while remaining hands‑on in design and code.

The Cloud Administrator manages cloud infrastructure and services, ensuring their performance, security, and reliability while troubleshooting issues and optimizing costs.