Top Remote Python Jobs in Houston, TX

Lead the migration and maintenance of complex data flows into AWS cloud environments. Develop infrastructure as code and cloud service logic using Python, Ansible, CloudFormation or CDK, while supporting CI/CD pipelines, file transfer and messaging services, monitoring, troubleshooting, performance tuning, and documentation. Coordinate integration requirements with stakeholders and maintain secure, compliant federal cloud solutions.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.

Leads enterprise solution architecture across applications, infrastructure, data, integrations, and processes. Defines technology blueprints, architecture roadmaps, modernization strategies, governance standards, and transformation plans. Partners with executives, business leaders, product owners, and engineering teams to align technology investments with business objectives. Evaluates emerging technologies and vendors, guides complex programs, manages technical debt, develops business cases, and mentors architects while promoting architecture excellence.

Build and deliver AI-powered healthcare products using React, Node.js, Python, and modern full-stack technologies. Partner with customers, designers, researchers, and product teams to understand workflow needs, design intuitive AI experiences, and own features from ideation through deployment, optimization, and scaling. The role requires strong product instincts, end-to-end software engineering ownership, and experience building production-grade applications.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Build and maintain large-scale healthcare data platform software using HL7/FHIR, Apache Spark, Python, Scala, Databricks, and cloud technologies. Shape technical roadmaps, architecture, and implementation approaches; collaborate with product and business stakeholders; maintain CI/CD and staging environments; and mentor junior engineers. The role requires deep healthcare data expertise, technical leadership, and experience with modern software engineering and integration practices.

Leads a team responsible for simulation-based verification and validation of autonomous trucks. Defines V&V strategy, scenario coverage, test campaigns, toolchain requirements, and safety-case evidence aligned with automotive standards. Partners with product, systems, safety, engineering, tools teams, and vendors to establish release criteria, identify testing gaps, analyze results, and report risks and progress to leadership. The role also involves team development, simulation scenario management, and advancing autonomous vehicle validation practices.

Build and maintain full-stack software supporting patient-centered healthcare products. Contribute to architecture, technical standards, code reviews, design discussions, and reliable implementation. Collaborate with product managers, designers, and stakeholders, while advocating for privacy, security, and access to care. Mentor engineers, document knowledge, identify technical improvements, and help shape project direction. The role requires backend, database, cloud, and AI development-tool experience in a fully remote environment.

Leads a team of 4–6 senior network engineers while providing hands-on support for complex customer environments. Oversees daily operations, escalations, incident and major incident management, root cause analysis, preventive measures, performance reviews, on-call scheduling, and workload distribution. Troubleshoots and optimizes Cisco, Nexus, Meraki, Palo Alto, Check Point, F5, and SAN technologies, while supporting monitoring, automation, patching, firmware updates, and hardware lifecycle management.

Owns Site Reliability Engineering for a customer-facing SaaS platform across Azure and Azure Government. Responsibilities include monitoring and observability, incident response, root cause analysis, reliability improvements, automation, infrastructure as code, CI/CD, performance optimization, disaster recovery, and operational security. The engineer will define and track SLIs, SLOs, and error budgets, lead post-incident reviews, reduce operational toil, and collaborate with development teams on scalable, reliable platform operations.

Own the architecture, performance, reliability, and technical direction of high-traffic backend services and public APIs supporting search, browse, autocomplete, and recommendations. Lead distributed-systems design, mentor engineers, drive cross-team projects, participate in on-call and incident response, and balance scalability, latency, cost, and API compatibility.

Build full-stack software, backend services, APIs, frontend experiences, and shared integration capabilities supporting AI initiatives across Keeper’s products. Integrate LLMs, agents, and tool-calling workflows into secure production environments while maintaining zero-knowledge principles. Troubleshoot cross-product systems, improve reliability and observability, contribute to architecture and code reviews, automate testing and CI/CD, and collaborate with AI, product, and engineering teams.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and documentation. Partner with engineering leadership and teams to define the AI roadmap, evaluate coding agents and models, improve adoption, and measure effects on velocity and quality. The role involves developing internal developer-facing automation, teaching and influencing engineers, identifying high-leverage AI opportunities, and promoting safe use of AI-generated code in a distributed engineering organization.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Develop and maintain PX4 autopilot firmware for UAVs, integrating sensors and payloads, and managing testing environments. Collaborate on flight operations and system integration.

Designs and maintains automated testing frameworks for AI-powered applications, APIs, backend services, and distributed systems. Defines test strategies, acceptance criteria, evaluation metrics, tolerances, and quality gates for deterministic and non-deterministic software. Builds regression, integration, API, and end-to-end coverage; evaluates LLMs, agents, prompts, and tool-calling workflows; integrates testing into CI/CD; analyzes failures, telemetry, and logs; reduces flaky tests; and partners with AI, engineering, and product teams on continuous quality practices.

Lead design, development, and operation of highly available AKS Resource Provider and control-plane services. Drive cluster lifecycle, upgrades, networking, security, scalability, observability, resiliency, and incident prevention for large-scale distributed cloud systems. Collaborate across Azure engineering teams, lead architectural decisions, improve tooling and automation, troubleshoot production issues, and mentor engineers while supporting reliable Kubernetes workloads across cloud and edge environments.

Develop, implement, and test embedded software, firmware, and edge solutions for industrial automation, networking, and real-time platforms. Responsibilities span architecture, implementation, integration, verification, test automation, cybersecurity, and transitioning research prototypes into products. The role collaborates with GE Vernova teams, suppliers, government agencies, national laboratories, and universities on energy and government-funded R&D programs. Candidates may also contribute to FPGA development, industrial protocols, real-time systems, and technical proposals and reports.

Supports multi-cloud lab infrastructure across AWS, Azure, and Google Cloud using Terraform, Ansible, and GitHub Actions. Assists with infrastructure-as-code modules, CI/CD pipelines, security tool evaluations, agentic automation, client POC engagements, technical documentation, and findings reports under mentorship. The part-time remote internship provides hands-on exposure to cloud infrastructure, DevOps, cybersecurity tooling, and AI-driven evaluation environments.

Designs and implements spacecraft attitude determination and control, guidance, navigation, and control architectures in embedded C++. Performs mission-specific analysis, simulation, requirements definition, sensor-calibration and geolocation pipeline development, anomaly resolution, and software- and hardware-in-the-loop testing. The role supports on-orbit systems and collaborates across spacecraft engineering disciplines. Remote work is available from approved states, with export-control eligibility requirements.

Principal Software Engineer responsible for operating and improving business-critical data pipelines and infrastructure. Duties include developing monitoring, alerting, logging, CI/CD workflows, scalable data integrations, automated testing, deployment automation, and production support. The role troubleshoots workflow failures, data-quality issues, performance bottlenecks, and infrastructure incidents while collaborating with data engineers, platform engineers, and architects. Preferred experience includes Databricks, Spark, AWS, Terraform, Unity Catalog, Delta Lake, observability, identity management, and enterprise data platform governance.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Leads multidisciplinary design, analysis, and optimization for unmanned aircraft, missiles, interceptors, and munitions. Integrates aerodynamics, structures, propulsion, GNC, CAD, CFD, FEA, and trajectory models into automated optimization workflows. Owns MDAO tool architecture, validation, documentation, and development pipelines; conducts trade studies, correlates models with test data, supports proposals, presents design reviews, and mentors engineers. Requires experience taking MDAO from conceptual sizing through flight testing and fielded hardware.

Design, implement, and operate networking infrastructure for Azure Dedicated private and hybrid cloud environments. Responsibilities include hybrid connectivity, ExpressRoute, SDN solutions, third-party platform integration, network performance and security optimization, live-site operations, automation, observability, troubleshooting, and enabling migration and disaster recovery scenarios.